diff --git a/README.md b/README.md index 3ac0204..bc221ed 100644 --- a/README.md +++ b/README.md @@ -27,7 +27,7 @@ cd dog-project 3. Download the [human dataset](https://s3-us-west-1.amazonaws.com/udacity-aind/dog-project/lfw.zip). Unzip the folder and place it in the repo, at location `path/to/dog-project/lfw`. If you are using a Windows machine, you are encouraged to use [7zip](http://www.7-zip.org/) to extract the folder. -4. Download the [VGG-16 bottleneck features](https://s3-us-west-1.amazonaws.com/udacity-aind/dog-project/DogVGG16Data.npz) for the dog dataset. Place it in the repo, at location `path/to/dog-project/bottleneck_features`. +4. Donwload the [VGG-16 bottleneck features](https://s3-us-west-1.amazonaws.com/udacity-aind/dog-project/DogVGG16Data.npz) for the dog dataset. Place it in the repo, at location `path/to/dog-project/bottleneck_features`. 5. (Optional) __If you plan to install TensorFlow with GPU support on your local machine__, follow [the guide](https://www.tensorflow.org/install/) to install the necessary NVIDIA software on your system. If you are using an EC2 GPU instance, you can skip this step. diff --git a/dog_app.html b/dog_app.html index 0b22576..593dbb3 100644 --- a/dog_app.html +++ b/dog_app.html @@ -13173,7 +13173,7 @@

Step 0: Import Datasets
-
In [57]:
+
In [1]:
from sklearn.datasets import load_files       
@@ -13212,6 +13212,17 @@ 
Step 0: Import Datasets
 
 
+

+
+    

+
+
+

+
Using TensorFlow backend.
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+

+

+
 

 
     

@@ -13665,7 +13676,7 @@ 
(IMPLEMENTATION) Assess the Do
 

 

 

-
In [11]:

+
In [42]:

 

     

 
### TODO: Test the performance of the dog_detector function
@@ -13787,9 +13798,9 @@ 
Pre-process the Data
-
100%|██████████| 6680/6680 [01:13<00:00, 90.78it/s] 
-100%|██████████| 835/835 [00:08<00:00, 101.98it/s]
-100%|██████████| 836/836 [00:08<00:00, 101.72it/s]
+
100%|██████████| 6680/6680 [01:14<00:00, 90.14it/s] 
+100%|██████████| 835/835 [00:08<00:00, 100.76it/s]
+100%|██████████| 836/836 [00:08<00:00, 101.32it/s]
 

 

 

@@ -13956,65 +13967,65 @@ 
(IMPLEMENTATION) Train the Model
 
Train on 6680 samples, validate on 835 samples
 Epoch 1/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.8838 - acc: 0.0080Epoch 00001: val_loss improved from inf to 4.87180, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 24s 4ms/step - loss: 4.8838 - acc: 0.0079 - val_loss: 4.8718 - val_acc: 0.0108
+6660/6680 [============================>.] - ETA: 0s - loss: 4.8840 - acc: 0.0104Epoch 00001: val_loss improved from inf to 4.87172, saving model to saved_models/weights.best.from_scratch.hdf5
+6680/6680 [==============================] - 24s 4ms/step - loss: 4.8841 - acc: 0.0105 - val_loss: 4.8717 - val_acc: 0.0108
 Epoch 2/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.8640 - acc: 0.0129Epoch 00002: val_loss improved from 4.87180 to 4.84555, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.8639 - acc: 0.0129 - val_loss: 4.8456 - val_acc: 0.0168
+6660/6680 [============================>.] - ETA: 0s - loss: 4.8670 - acc: 0.0120Epoch 00002: val_loss improved from 4.87172 to 4.85380, saving model to saved_models/weights.best.from_scratch.hdf5
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.8669 - acc: 0.0120 - val_loss: 4.8538 - val_acc: 0.0156
 Epoch 3/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.8092 - acc: 0.0204Epoch 00003: val_loss improved from 4.84555 to 4.75984, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.8089 - acc: 0.0204 - val_loss: 4.7598 - val_acc: 0.0251
+6660/6680 [============================>.] - ETA: 0s - loss: 4.8248 - acc: 0.0177Epoch 00003: val_loss improved from 4.85380 to 4.79786, saving model to saved_models/weights.best.from_scratch.hdf5
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.8248 - acc: 0.0177 - val_loss: 4.7979 - val_acc: 0.0192
 Epoch 4/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.7300 - acc: 0.0236Epoch 00004: val_loss improved from 4.75984 to 4.71569, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.7301 - acc: 0.0238 - val_loss: 4.7157 - val_acc: 0.0335
+6660/6680 [============================>.] - ETA: 0s - loss: 4.7414 - acc: 0.0230Epoch 00004: val_loss improved from 4.79786 to 4.71610, saving model to saved_models/weights.best.from_scratch.hdf5
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.7411 - acc: 0.0229 - val_loss: 4.7161 - val_acc: 0.0216
 Epoch 5/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.6662 - acc: 0.0359Epoch 00005: val_loss improved from 4.71569 to 4.66870, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.6662 - acc: 0.0359 - val_loss: 4.6687 - val_acc: 0.0335
+6660/6680 [============================>.] - ETA: 0s - loss: 4.6696 - acc: 0.0332- ETA: 1s - loss: 4.6711 - acc: 0.034 - ETA: 1s - loss: 4.6706Epoch 00005: val_loss did not improve
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.6688 - acc: 0.0334 - val_loss: 4.7386 - val_acc: 0.0311
 Epoch 6/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.5949 - acc: 0.0413Epoch 00006: val_loss improved from 4.66870 to 4.60348, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.5949 - acc: 0.0412 - val_loss: 4.6035 - val_acc: 0.0479
+6660/6680 [============================>.] - ETA: 0s - loss: 4.5993 - acc: 0.0368Epoch 00006: val_loss improved from 4.71610 to 4.63292, saving model to saved_models/weights.best.from_scratch.hdf5
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.5990 - acc: 0.0371 - val_loss: 4.6329 - val_acc: 0.0395
 Epoch 7/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.5157 - acc: 0.0468Epoch 00007: val_loss improved from 4.60348 to 4.52517, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.5157 - acc: 0.0469 - val_loss: 4.5252 - val_acc: 0.0551
+6660/6680 [============================>.] - ETA: 0s - loss: 4.5406 - acc: 0.0404Epoch 00007: val_loss improved from 4.63292 to 4.58069, saving model to saved_models/weights.best.from_scratch.hdf5
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.5410 - acc: 0.0403 - val_loss: 4.5807 - val_acc: 0.0443
 Epoch 8/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.4474 - acc: 0.0500Epoch 00008: val_loss improved from 4.52517 to 4.48079, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.4475 - acc: 0.0499 - val_loss: 4.4808 - val_acc: 0.0539
+6660/6680 [============================>.] - ETA: 0s - loss: 4.4838 - acc: 0.0455- ETA: 0s - loss: 4.4833 - acc: 0.045Epoch 00008: val_loss improved from 4.58069 to 4.56114, saving model to saved_models/weights.best.from_scratch.hdf5
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.4839 - acc: 0.0455 - val_loss: 4.5611 - val_acc: 0.0479
 Epoch 9/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.3966 - acc: 0.0539Epoch 00009: val_loss did not improve
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.3968 - acc: 0.0537 - val_loss: 4.5209 - val_acc: 0.0551
+6660/6680 [============================>.] - ETA: 0s - loss: 4.4351 - acc: 0.0502Epoch 00009: val_loss improved from 4.56114 to 4.53171, saving model to saved_models/weights.best.from_scratch.hdf5
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.4351 - acc: 0.0503 - val_loss: 4.5317 - val_acc: 0.0467
 Epoch 10/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.3393 - acc: 0.0554Epoch 00010: val_loss improved from 4.48079 to 4.45155, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.3399 - acc: 0.0554 - val_loss: 4.4515 - val_acc: 0.0539
+6660/6680 [============================>.] - ETA: 0s - loss: 4.3887 - acc: 0.0533Epoch 00010: val_loss improved from 4.53171 to 4.49208, saving model to saved_models/weights.best.from_scratch.hdf5
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.3878 - acc: 0.0533 - val_loss: 4.4921 - val_acc: 0.0467
 Epoch 11/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.3024 - acc: 0.0595Epoch 00011: val_loss improved from 4.45155 to 4.42259, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.3019 - acc: 0.0594 - val_loss: 4.4226 - val_acc: 0.0587
+6660/6680 [============================>.] - ETA: 0s - loss: 4.3501 - acc: 0.0569Epoch 00011: val_loss did not improve
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.3514 - acc: 0.0567 - val_loss: 4.5006 - val_acc: 0.0575
 Epoch 12/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.2625 - acc: 0.0691Epoch 00012: val_loss improved from 4.42259 to 4.39708, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.2623 - acc: 0.0690 - val_loss: 4.3971 - val_acc: 0.0551
+6660/6680 [============================>.] - ETA: 0s - loss: 4.3081 - acc: 0.0589Epoch 00012: val_loss improved from 4.49208 to 4.40134, saving model to saved_models/weights.best.from_scratch.hdf5
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.3075 - acc: 0.0590 - val_loss: 4.4013 - val_acc: 0.0635
 Epoch 13/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.2298 - acc: 0.0682Epoch 00013: val_loss improved from 4.39708 to 4.34578, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.2291 - acc: 0.0683 - val_loss: 4.3458 - val_acc: 0.0611
+6660/6680 [============================>.] - ETA: 0s - loss: 4.2535 - acc: 0.0670- ETA: 1s - loss: 4.25Epoch 00013: val_loss did not improve
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.2537 - acc: 0.0669 - val_loss: 4.4039 - val_acc: 0.0659
 Epoch 14/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.1869 - acc: 0.0695Epoch 00014: val_loss improved from 4.34578 to 4.27943, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.1877 - acc: 0.0696 - val_loss: 4.2794 - val_acc: 0.0647
+6660/6680 [============================>.] - ETA: 0s - loss: 4.2095 - acc: 0.0734Epoch 00014: val_loss improved from 4.40134 to 4.30161, saving model to saved_models/weights.best.from_scratch.hdf5
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.2092 - acc: 0.0735 - val_loss: 4.3016 - val_acc: 0.0766
 Epoch 15/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.1472 - acc: 0.0755Epoch 00015: val_loss improved from 4.27943 to 4.24986, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.1464 - acc: 0.0757 - val_loss: 4.2499 - val_acc: 0.0731
+6660/6680 [============================>.] - ETA: 0s - loss: 4.1669 - acc: 0.0803Epoch 00015: val_loss improved from 4.30161 to 4.28653, saving model to saved_models/weights.best.from_scratch.hdf5
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.1666 - acc: 0.0801 - val_loss: 4.2865 - val_acc: 0.0778
 Epoch 16/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.1212 - acc: 0.0866Epoch 00016: val_loss improved from 4.24986 to 4.19757, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.1215 - acc: 0.0868 - val_loss: 4.1976 - val_acc: 0.0707
+6660/6680 [============================>.] - ETA: 0s - loss: 4.1177 - acc: 0.0859Epoch 00016: val_loss did not improve
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.1186 - acc: 0.0858 - val_loss: 4.3278 - val_acc: 0.0659
 Epoch 17/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.0690 - acc: 0.0857Epoch 00017: val_loss did not improve
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.0689 - acc: 0.0855 - val_loss: 4.2051 - val_acc: 0.0886
+6660/6680 [============================>.] - ETA: 0s - loss: 4.0744 - acc: 0.0893Epoch 00017: val_loss improved from 4.28653 to 4.23173, saving model to saved_models/weights.best.from_scratch.hdf5
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.0749 - acc: 0.0892 - val_loss: 4.2317 - val_acc: 0.0754
 Epoch 18/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.0485 - acc: 0.0983Epoch 00018: val_loss did not improve
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.0475 - acc: 0.0988 - val_loss: 4.4219 - val_acc: 0.0707
+6660/6680 [============================>.] - ETA: 0s - loss: 4.0313 - acc: 0.0971Epoch 00018: val_loss improved from 4.23173 to 4.22475, saving model to saved_models/weights.best.from_scratch.hdf5
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.0310 - acc: 0.0970 - val_loss: 4.2247 - val_acc: 0.0719
 Epoch 19/20
-6660/6680 [============================>.] - ETA: 0s - loss: 4.0080 - acc: 0.0949Epoch 00019: val_loss improved from 4.19757 to 4.14352, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 4.0092 - acc: 0.0949 - val_loss: 4.1435 - val_acc: 0.0922
+6660/6680 [============================>.] - ETA: 0s - loss: 4.0020 - acc: 0.0962Epoch 00019: val_loss did not improve
+6680/6680 [==============================] - 23s 3ms/step - loss: 4.0000 - acc: 0.0967 - val_loss: 4.2786 - val_acc: 0.0743
 Epoch 20/20
-6660/6680 [============================>.] - ETA: 0s - loss: 3.9717 - acc: 0.1063Epoch 00020: val_loss improved from 4.14352 to 4.10331, saving model to saved_models/weights.best.from_scratch.hdf5
-6680/6680 [==============================] - 23s 3ms/step - loss: 3.9722 - acc: 0.1064 - val_loss: 4.1033 - val_acc: 0.0898
+6660/6680 [============================>.] - ETA: 0s - loss: 3.9613 - acc: 0.1051Epoch 00020: val_loss improved from 4.22475 to 4.14169, saving model to saved_models/weights.best.from_scratch.hdf5
+6680/6680 [==============================] - 23s 3ms/step - loss: 3.9609 - acc: 0.1049 - val_loss: 4.1417 - val_acc: 0.0802
 

 

 

@@ -14027,7 +14038,7 @@ 
(IMPLEMENTATION) Train the Model
-
<keras.callbacks.History at 0x7f53f8083630>

+
<keras.callbacks.History at 0x7fd9d6f9a588>
@@ -14091,7 +14102,7 @@

Test the Model -
Test accuracy: 9.5694%
+
Test accuracy: 9.6890%

@@ -14235,65 +14246,65 @@

Train the Model 
Train on 6680 samples, validate on 835 samples
 Epoch 1/20
-6560/6680 [============================>.] - ETA: 0s - loss: 12.4868 - acc: 0.1194Epoch 00001: val_loss improved from inf to 11.07808, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 319us/step - loss: 12.4618 - acc: 0.1205 - val_loss: 11.0781 - val_acc: 0.1976
+6540/6680 [============================>.] - ETA: 0s - loss: 12.3058 - acc: 0.1343Epoch 00001: val_loss improved from inf to 11.16987, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 364us/step - loss: 12.2825 - acc: 0.1359 - val_loss: 11.1699 - val_acc: 0.1844
 Epoch 2/20
-6580/6680 [============================>.] - ETA: 0s - loss: 10.3814 - acc: 0.2807Epoch 00002: val_loss improved from 11.07808 to 10.35501, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 261us/step - loss: 10.3816 - acc: 0.2808 - val_loss: 10.3550 - val_acc: 0.2683
+6540/6680 [============================>.] - ETA: 0s - loss: 10.5554 - acc: 0.2705Epoch 00002: val_loss improved from 11.16987 to 10.58532, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 271us/step - loss: 10.5440 - acc: 0.2716 - val_loss: 10.5853 - val_acc: 0.2623
 Epoch 3/20
-6620/6680 [============================>.] - ETA: 0s - loss: 9.9913 - acc: 0.3373Epoch 00003: val_loss improved from 10.35501 to 10.20705, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 259us/step - loss: 10.0056 - acc: 0.3367 - val_loss: 10.2071 - val_acc: 0.2910
+6600/6680 [============================>.] - ETA: 0s - loss: 10.1496 - acc: 0.3170Epoch 00003: val_loss improved from 10.58532 to 10.46150, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 259us/step - loss: 10.1553 - acc: 0.3168 - val_loss: 10.4615 - val_acc: 0.2790
 Epoch 4/20
-6620/6680 [============================>.] - ETA: 0s - loss: 9.7211 - acc: 0.3613Epoch 00004: val_loss improved from 10.20705 to 9.97083, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 258us/step - loss: 9.7194 - acc: 0.3611 - val_loss: 9.9708 - val_acc: 0.3066
+6620/6680 [============================>.] - ETA: 0s - loss: 9.9158 - acc: 0.3485Epoch 00004: val_loss improved from 10.46150 to 10.17007, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 258us/step - loss: 9.9133 - acc: 0.3487 - val_loss: 10.1701 - val_acc: 0.3102
 Epoch 5/20
-6600/6680 [============================>.] - ETA: 0s - loss: 9.5166 - acc: 0.3891Epoch 00005: val_loss improved from 9.97083 to 9.91203, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 260us/step - loss: 9.5251 - acc: 0.3886 - val_loss: 9.9120 - val_acc: 0.3281
+6600/6680 [============================>.] - ETA: 0s - loss: 9.8063 - acc: 0.3653Epoch 00005: val_loss improved from 10.17007 to 10.12453, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 259us/step - loss: 9.7947 - acc: 0.3659 - val_loss: 10.1245 - val_acc: 0.3234
 Epoch 6/20
-6620/6680 [============================>.] - ETA: 0s - loss: 9.3710 - acc: 0.3959Epoch 00006: val_loss improved from 9.91203 to 9.66854, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 259us/step - loss: 9.3661 - acc: 0.3960 - val_loss: 9.6685 - val_acc: 0.3449
+6620/6680 [============================>.] - ETA: 0s - loss: 9.6445 - acc: 0.3778Epoch 00006: val_loss improved from 10.12453 to 9.92878, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 260us/step - loss: 9.6420 - acc: 0.3778 - val_loss: 9.9288 - val_acc: 0.3317
 Epoch 7/20
-6620/6680 [============================>.] - ETA: 0s - loss: 9.2993 - acc: 0.4063Epoch 00007: val_loss improved from 9.66854 to 9.62033, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 258us/step - loss: 9.2790 - acc: 0.4075 - val_loss: 9.6203 - val_acc: 0.3509
+6620/6680 [============================>.] - ETA: 0s - loss: 9.4666 - acc: 0.3921Epoch 00007: val_loss improved from 9.92878 to 9.71796, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 259us/step - loss: 9.4637 - acc: 0.3924 - val_loss: 9.7180 - val_acc: 0.3377
 Epoch 8/20
-6640/6680 [============================>.] - ETA: 0s - loss: 9.2505 - acc: 0.4142Epoch 00008: val_loss did not improve
-6680/6680 [==============================] - 2s 257us/step - loss: 9.2338 - acc: 0.4153 - val_loss: 9.6588 - val_acc: 0.3389
+6620/6680 [============================>.] - ETA: 0s - loss: 9.3121 - acc: 0.4009Epoch 00008: val_loss improved from 9.71796 to 9.61295, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 259us/step - loss: 9.3014 - acc: 0.4016 - val_loss: 9.6130 - val_acc: 0.3401
 Epoch 9/20
-6540/6680 [============================>.] - ETA: 0s - loss: 9.2001 - acc: 0.4185Epoch 00009: val_loss improved from 9.62033 to 9.50891, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 261us/step - loss: 9.1652 - acc: 0.4205 - val_loss: 9.5089 - val_acc: 0.3509
+6620/6680 [============================>.] - ETA: 0s - loss: 9.1121 - acc: 0.4147Epoch 00009: val_loss improved from 9.61295 to 9.52304, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 259us/step - loss: 9.1116 - acc: 0.4148 - val_loss: 9.5230 - val_acc: 0.3485
 Epoch 10/20
-6620/6680 [============================>.] - ETA: 0s - loss: 9.0310 - acc: 0.4307Epoch 00010: val_loss improved from 9.50891 to 9.38908, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 259us/step - loss: 9.0444 - acc: 0.4298 - val_loss: 9.3891 - val_acc: 0.3772
+6580/6680 [============================>.] - ETA: 0s - loss: 8.9601 - acc: 0.4257Epoch 00010: val_loss improved from 9.52304 to 9.39127, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 260us/step - loss: 8.9665 - acc: 0.4254 - val_loss: 9.3913 - val_acc: 0.3665
 Epoch 11/20
-6600/6680 [============================>.] - ETA: 0s - loss: 8.9488 - acc: 0.4318Epoch 00011: val_loss improved from 9.38908 to 9.28354, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 259us/step - loss: 8.9503 - acc: 0.4317 - val_loss: 9.2835 - val_acc: 0.3629
+6620/6680 [============================>.] - ETA: 0s - loss: 8.8020 - acc: 0.4356Epoch 00011: val_loss improved from 9.39127 to 9.20310, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 259us/step - loss: 8.7931 - acc: 0.4362 - val_loss: 9.2031 - val_acc: 0.3665
 Epoch 12/20
-6620/6680 [============================>.] - ETA: 0s - loss: 8.6990 - acc: 0.4432Epoch 00012: val_loss improved from 9.28354 to 9.14873, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 259us/step - loss: 8.6991 - acc: 0.4430 - val_loss: 9.1487 - val_acc: 0.3760
+6620/6680 [============================>.] - ETA: 0s - loss: 8.6126 - acc: 0.4530Epoch 00012: val_loss improved from 9.20310 to 9.14645, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 259us/step - loss: 8.6182 - acc: 0.4525 - val_loss: 9.1465 - val_acc: 0.3665
 Epoch 13/20
-6620/6680 [============================>.] - ETA: 0s - loss: 8.6075 - acc: 0.4526Epoch 00013: val_loss improved from 9.14873 to 9.12314, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 258us/step - loss: 8.6232 - acc: 0.4516 - val_loss: 9.1231 - val_acc: 0.3844
+6620/6680 [============================>.] - ETA: 0s - loss: 8.5518 - acc: 0.4573Epoch 00013: val_loss improved from 9.14645 to 9.09989, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 258us/step - loss: 8.5547 - acc: 0.4572 - val_loss: 9.0999 - val_acc: 0.3856
 Epoch 14/20
-6600/6680 [============================>.] - ETA: 0s - loss: 8.5989 - acc: 0.4576Epoch 00014: val_loss improved from 9.12314 to 9.03359, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 259us/step - loss: 8.5872 - acc: 0.4582 - val_loss: 9.0336 - val_acc: 0.3856
+6620/6680 [============================>.] - ETA: 0s - loss: 8.4959 - acc: 0.4642Epoch 00014: val_loss improved from 9.09989 to 9.05044, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 258us/step - loss: 8.5104 - acc: 0.4632 - val_loss: 9.0504 - val_acc: 0.3701
 Epoch 15/20
-6580/6680 [============================>.] - ETA: 0s - loss: 8.3545 - acc: 0.4657Epoch 00015: val_loss improved from 9.03359 to 8.82397, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 260us/step - loss: 8.3389 - acc: 0.4666 - val_loss: 8.8240 - val_acc: 0.3988
+6620/6680 [============================>.] - ETA: 0s - loss: 8.3729 - acc: 0.4657Epoch 00015: val_loss improved from 9.05044 to 8.92581, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 259us/step - loss: 8.3776 - acc: 0.4654 - val_loss: 8.9258 - val_acc: 0.3796
 Epoch 16/20
-6620/6680 [============================>.] - ETA: 0s - loss: 8.2313 - acc: 0.4770Epoch 00016: val_loss improved from 8.82397 to 8.75910, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 259us/step - loss: 8.2346 - acc: 0.4769 - val_loss: 8.7591 - val_acc: 0.4084
+6620/6680 [============================>.] - ETA: 0s - loss: 8.2373 - acc: 0.4758Epoch 00016: val_loss improved from 8.92581 to 8.74928, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 260us/step - loss: 8.2276 - acc: 0.4765 - val_loss: 8.7493 - val_acc: 0.3988
 Epoch 17/20
-6600/6680 [============================>.] - ETA: 0s - loss: 8.1233 - acc: 0.4809Epoch 00017: val_loss improved from 8.75910 to 8.71061, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 260us/step - loss: 8.1304 - acc: 0.4804 - val_loss: 8.7106 - val_acc: 0.3964
+6640/6680 [============================>.] - ETA: 0s - loss: 8.0314 - acc: 0.4836Epoch 00017: val_loss improved from 8.74928 to 8.58684, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 256us/step - loss: 8.0430 - acc: 0.4829 - val_loss: 8.5868 - val_acc: 0.3964
 Epoch 18/20
-6620/6680 [============================>.] - ETA: 0s - loss: 7.9058 - acc: 0.4867Epoch 00018: val_loss improved from 8.71061 to 8.58538, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 258us/step - loss: 7.9190 - acc: 0.4858 - val_loss: 8.5854 - val_acc: 0.3988
+6620/6680 [============================>.] - ETA: 0s - loss: 7.8192 - acc: 0.5012Epoch 00018: val_loss improved from 8.58684 to 8.58439, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 258us/step - loss: 7.8468 - acc: 0.4996 - val_loss: 8.5844 - val_acc: 0.3988
 Epoch 19/20
-6620/6680 [============================>.] - ETA: 0s - loss: 7.7842 - acc: 0.5000Epoch 00019: val_loss improved from 8.58538 to 8.46001, saving model to saved_models/weights.best.VGG16.hdf5
-6680/6680 [==============================] - 2s 258us/step - loss: 7.7971 - acc: 0.4993 - val_loss: 8.4600 - val_acc: 0.4168
+6580/6680 [============================>.] - ETA: 0s - loss: 7.7985 - acc: 0.5062Epoch 00019: val_loss improved from 8.58439 to 8.55658, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 259us/step - loss: 7.8027 - acc: 0.5060 - val_loss: 8.5566 - val_acc: 0.4156
 Epoch 20/20
-6620/6680 [============================>.] - ETA: 0s - loss: 7.7658 - acc: 0.5076Epoch 00020: val_loss did not improve
-6680/6680 [==============================] - 2s 258us/step - loss: 7.7561 - acc: 0.5079 - val_loss: 8.5125 - val_acc: 0.4204
+6620/6680 [============================>.] - ETA: 0s - loss: 7.7659 - acc: 0.5112Epoch 00020: val_loss improved from 8.55658 to 8.50355, saving model to saved_models/weights.best.VGG16.hdf5
+6680/6680 [==============================] - 2s 258us/step - loss: 7.7811 - acc: 0.5102 - val_loss: 8.5036 - val_acc: 0.4216

@@ -14306,7 +14317,7 @@

Train the Model -
<keras.callbacks.History at 0x7f53c9579780>
+
<keras.callbacks.History at 0x7fd9be53b1d0>
@@ -14370,7 +14381,7 @@

Test the Model -
Test accuracy: 40.6699%
+
Test accuracy: 41.8660%
 

 
 
@@ -14579,65 +14590,65 @@ 
(IMPLEMENTATION) Train the Model
 
Train on 6680 samples, validate on 835 samples
 Epoch 1/20
-6520/6680 [============================>.] - ETA: 0s - loss: 1.6652 - acc: 0.5937Epoch 00001: val_loss improved from inf to 0.83093, saving model to saved_models/weights.best.RESNET.hdf5
-6680/6680 [==============================] - 2s 285us/step - loss: 1.6447 - acc: 0.5973 - val_loss: 0.8309 - val_acc: 0.7377
+6480/6680 [============================>.] - ETA: 0s - loss: 1.6624 - acc: 0.5875Epoch 00001: val_loss improved from inf to 0.85612, saving model to saved_models/weights.best.RESNET.hdf5
+6680/6680 [==============================] - 2s 280us/step - loss: 1.6401 - acc: 0.5916 - val_loss: 0.8561 - val_acc: 0.7365
 Epoch 2/20
-6620/6680 [============================>.] - ETA: 0s - loss: 0.4451 - acc: 0.8636Epoch 00002: val_loss improved from 0.83093 to 0.68045, saving model to saved_models/weights.best.RESNET.hdf5
-6680/6680 [==============================] - 2s 238us/step - loss: 0.4454 - acc: 0.8630 - val_loss: 0.6805 - val_acc: 0.7928
+6520/6680 [============================>.] - ETA: 0s - loss: 0.4421 - acc: 0.8646Epoch 00002: val_loss improved from 0.85612 to 0.69737, saving model to saved_models/weights.best.RESNET.hdf5
+6680/6680 [==============================] - 2s 232us/step - loss: 0.4415 - acc: 0.8644 - val_loss: 0.6974 - val_acc: 0.7713
 Epoch 3/20
-6660/6680 [============================>.] - ETA: 0s - loss: 0.2622 - acc: 0.9153Epoch 00003: val_loss improved from 0.68045 to 0.60472, saving model to saved_models/weights.best.RESNET.hdf5
-6680/6680 [==============================] - 2s 255us/step - loss: 0.2622 - acc: 0.9151 - val_loss: 0.6047 - val_acc: 0.8072
+6520/6680 [============================>.] - ETA: 0s - loss: 0.2672 - acc: 0.9132Epoch 00003: val_loss improved from 0.69737 to 0.65965, saving model to saved_models/weights.best.RESNET.hdf5
+6680/6680 [==============================] - 2s 232us/step - loss: 0.2696 - acc: 0.9123 - val_loss: 0.6597 - val_acc: 0.8072
 Epoch 4/20
-6620/6680 [============================>.] - ETA: 0s - loss: 0.1718 - acc: 0.9443Epoch 00004: val_loss did not improve
-6680/6680 [==============================] - 2s 254us/step - loss: 0.1720 - acc: 0.9443 - val_loss: 0.6772 - val_acc: 0.8096
+6460/6680 [============================>.] - ETA: 0s - loss: 0.1753 - acc: 0.9467Epoch 00004: val_loss did not improve
+6680/6680 [==============================] - 2s 232us/step - loss: 0.1763 - acc: 0.9467 - val_loss: 0.7246 - val_acc: 0.7892
 Epoch 5/20
-6660/6680 [============================>.] - ETA: 0s - loss: 0.1213 - acc: 0.9617Epoch 00005: val_loss did not improve
-6680/6680 [==============================] - 2s 251us/step - loss: 0.1212 - acc: 0.9617 - val_loss: 0.7300 - val_acc: 0.8036
+6500/6680 [============================>.] - ETA: 0s - loss: 0.1200 - acc: 0.9635Epoch 00005: val_loss did not improve
+6680/6680 [==============================] - 2s 229us/step - loss: 0.1222 - acc: 0.9623 - val_loss: 0.6632 - val_acc: 0.8084
 Epoch 6/20
-6520/6680 [============================>.] - ETA: 0s - loss: 0.0873 - acc: 0.9736Epoch 00006: val_loss did not improve
-6680/6680 [==============================] - 2s 229us/step - loss: 0.0865 - acc: 0.9738 - val_loss: 0.6814 - val_acc: 0.8120
+6500/6680 [============================>.] - ETA: 0s - loss: 0.0886 - acc: 0.9723Epoch 00006: val_loss did not improve
+6680/6680 [==============================] - 2s 230us/step - loss: 0.0884 - acc: 0.9723 - val_loss: 0.6886 - val_acc: 0.8192
 Epoch 7/20
-6560/6680 [============================>.] - ETA: 0s - loss: 0.0590 - acc: 0.9823Epoch 00007: val_loss did not improve
-6680/6680 [==============================] - 2s 228us/step - loss: 0.0597 - acc: 0.9819 - val_loss: 0.6965 - val_acc: 0.8168
+6440/6680 [===========================>..] - ETA: 0s - loss: 0.0645 - acc: 0.9820Epoch 00007: val_loss did not improve
+6680/6680 [==============================] - 2s 232us/step - loss: 0.0650 - acc: 0.9816 - val_loss: 0.7664 - val_acc: 0.8048
 Epoch 8/20
-6540/6680 [============================>.] - ETA: 0s - loss: 0.0450 - acc: 0.9869Epoch 00008: val_loss did not improve
-6680/6680 [==============================] - 2s 229us/step - loss: 0.0461 - acc: 0.9862 - val_loss: 0.6680 - val_acc: 0.8299
+6520/6680 [============================>.] - ETA: 0s - loss: 0.0487 - acc: 0.9837Epoch 00008: val_loss did not improve
+6680/6680 [==============================] - 2s 229us/step - loss: 0.0485 - acc: 0.9837 - val_loss: 0.7242 - val_acc: 0.8024
 Epoch 9/20
-6540/6680 [============================>.] - ETA: 0s - loss: 0.0354 - acc: 0.9907Epoch 00009: val_loss did not improve
-6680/6680 [==============================] - 2s 228us/step - loss: 0.0357 - acc: 0.9907 - val_loss: 0.7417 - val_acc: 0.8180
+6520/6680 [============================>.] - ETA: 0s - loss: 0.0367 - acc: 0.9897Epoch 00009: val_loss did not improve
+6680/6680 [==============================] - 2s 230us/step - loss: 0.0362 - acc: 0.9900 - val_loss: 0.7674 - val_acc: 0.8144
 Epoch 10/20
-6540/6680 [============================>.] - ETA: 0s - loss: 0.0234 - acc: 0.9946Epoch 00010: val_loss did not improve
-6680/6680 [==============================] - 2s 229us/step - loss: 0.0252 - acc: 0.9945 - val_loss: 0.7301 - val_acc: 0.8299
+6560/6680 [============================>.] - ETA: 0s - loss: 0.0282 - acc: 0.9933Epoch 00010: val_loss did not improve
+6680/6680 [==============================] - 2s 229us/step - loss: 0.0278 - acc: 0.9934 - val_loss: 0.8192 - val_acc: 0.8180
 Epoch 11/20
-6520/6680 [============================>.] - ETA: 0s - loss: 0.0207 - acc: 0.9946Epoch 00011: val_loss did not improve
-6680/6680 [==============================] - 2s 230us/step - loss: 0.0212 - acc: 0.9945 - val_loss: 0.7545 - val_acc: 0.8359
+6520/6680 [============================>.] - ETA: 0s - loss: 0.0232 - acc: 0.9939Epoch 00011: val_loss did not improve
+6680/6680 [==============================] - 2s 229us/step - loss: 0.0231 - acc: 0.9939 - val_loss: 0.7758 - val_acc: 0.8275
 Epoch 12/20
-6520/6680 [============================>.] - ETA: 0s - loss: 0.0152 - acc: 0.9957Epoch 00012: val_loss did not improve
-6680/6680 [==============================] - 2s 230us/step - loss: 0.0163 - acc: 0.9955 - val_loss: 0.7939 - val_acc: 0.8275
+6540/6680 [============================>.] - ETA: 0s - loss: 0.0179 - acc: 0.9942Epoch 00012: val_loss did not improve
+6680/6680 [==============================] - 2s 230us/step - loss: 0.0181 - acc: 0.9942 - val_loss: 0.8076 - val_acc: 0.8204
 Epoch 13/20
-6540/6680 [============================>.] - ETA: 0s - loss: 0.0142 - acc: 0.9965Epoch 00013: val_loss did not improve
-6680/6680 [==============================] - 2s 229us/step - loss: 0.0143 - acc: 0.9963 - val_loss: 0.8071 - val_acc: 0.8299
+6540/6680 [============================>.] - ETA: 0s - loss: 0.0125 - acc: 0.9969Epoch 00013: val_loss did not improve
+6680/6680 [==============================] - 2s 228us/step - loss: 0.0132 - acc: 0.9969 - val_loss: 0.8460 - val_acc: 0.8156
 Epoch 14/20
-6540/6680 [============================>.] - ETA: 0s - loss: 0.0109 - acc: 0.9977Epoch 00014: val_loss did not improve
-6680/6680 [==============================] - 2s 230us/step - loss: 0.0107 - acc: 0.9978 - val_loss: 0.8540 - val_acc: 0.8156
+6500/6680 [============================>.] - ETA: 0s - loss: 0.0120 - acc: 0.9972Epoch 00014: val_loss did not improve
+6680/6680 [==============================] - 2s 230us/step - loss: 0.0118 - acc: 0.9973 - val_loss: 0.8669 - val_acc: 0.8263
 Epoch 15/20
-6500/6680 [============================>.] - ETA: 0s - loss: 0.0097 - acc: 0.9980Epoch 00015: val_loss did not improve
-6680/6680 [==============================] - 2s 229us/step - loss: 0.0096 - acc: 0.9981 - val_loss: 0.8420 - val_acc: 0.8287
+6520/6680 [============================>.] - ETA: 0s - loss: 0.0112 - acc: 0.9969Epoch 00015: val_loss did not improve
+6680/6680 [==============================] - 2s 229us/step - loss: 0.0110 - acc: 0.9970 - val_loss: 0.8673 - val_acc: 0.8275
 Epoch 16/20
-6500/6680 [============================>.] - ETA: 0s - loss: 0.0082 - acc: 0.9980Epoch 00016: val_loss did not improve
-6680/6680 [==============================] - 2s 230us/step - loss: 0.0088 - acc: 0.9979 - val_loss: 0.8458 - val_acc: 0.8347
+6500/6680 [============================>.] - ETA: 0s - loss: 0.0080 - acc: 0.9980Epoch 00016: val_loss did not improve
+6680/6680 [==============================] - 2s 229us/step - loss: 0.0084 - acc: 0.9979 - val_loss: 0.8565 - val_acc: 0.8251
 Epoch 17/20
-6440/6680 [===========================>..] - ETA: 0s - loss: 0.0081 - acc: 0.9980Epoch 00017: val_loss did not improve
-6680/6680 [==============================] - 2s 232us/step - loss: 0.0079 - acc: 0.9981 - val_loss: 0.8772 - val_acc: 0.8204
+6500/6680 [============================>.] - ETA: 0s - loss: 0.0057 - acc: 0.9980Epoch 00017: val_loss did not improve
+6680/6680 [==============================] - 2s 231us/step - loss: 0.0056 - acc: 0.9981 - val_loss: 0.8856 - val_acc: 0.8311
 Epoch 18/20
-6500/6680 [============================>.] - ETA: 0s - loss: 0.0072 - acc: 0.9985Epoch 00018: val_loss did not improve
-6680/6680 [==============================] - 2s 231us/step - loss: 0.0070 - acc: 0.9985 - val_loss: 0.8823 - val_acc: 0.8275
+6540/6680 [============================>.] - ETA: 0s - loss: 0.0059 - acc: 0.9983Epoch 00018: val_loss did not improve
+6680/6680 [==============================] - 2s 230us/step - loss: 0.0062 - acc: 0.9982 - val_loss: 0.9594 - val_acc: 0.8228
 Epoch 19/20
-6460/6680 [============================>.] - ETA: 0s - loss: 0.0058 - acc: 0.9985Epoch 00019: val_loss did not improve
-6680/6680 [==============================] - 2s 232us/step - loss: 0.0061 - acc: 0.9984 - val_loss: 0.9441 - val_acc: 0.8323
+6520/6680 [============================>.] - ETA: 0s - loss: 0.0064 - acc: 0.9986Epoch 00019: val_loss did not improve
+6680/6680 [==============================] - 2s 229us/step - loss: 0.0063 - acc: 0.9987 - val_loss: 0.9468 - val_acc: 0.8216
 Epoch 20/20
-6500/6680 [============================>.] - ETA: 0s - loss: 0.0055 - acc: 0.9982Epoch 00020: val_loss did not improve
-6680/6680 [==============================] - 2s 231us/step - loss: 0.0054 - acc: 0.9982 - val_loss: 0.9053 - val_acc: 0.8311
+6500/6680 [============================>.] - ETA: 0s - loss: 0.0057 - acc: 0.9985Epoch 00020: val_loss did not improve
+6680/6680 [==============================] - 2s 230us/step - loss: 0.0056 - acc: 0.9985 - val_loss: 0.9413 - val_acc: 0.8299
 

 
 
@@ -14650,7 +14661,7 @@ 
(IMPLEMENTATION) Train the Model
-
<keras.callbacks.History at 0x7f53c9151b38>

+
<keras.callbacks.History at 0x7fd9be1dc048>

 
 
 
@@ -14716,7 +14727,7 @@ 
(IMPLEMENTATION) Test the Model
-
Test accuracy: 81.3397%
+
Test accuracy: 79.3062%
 

 
 
@@ -14788,28 +14799,62 @@ 
(IMPLEMENTATION) Write your Algor
 
 

 

-
In [45]:

+
In [63]:

 

     

-
### TODO: Write your algorithm.
-from keras.layers import Conv2D, MaxPooling2D, GlobalAveragePooling2D
-from keras.layers import Dropout, Flatten, Dense
-from keras.models import Sequential
+
def detector(img_path):
+    detection = ''
+    if(dog_detector(img_path)):
+        detection = 'Dog detected! It\'s a {}'.format(res_predict_breed(img_path))
+    elif(face_detector(img_path)):
+        detection = 'Human detected! You look like a {}'.format(res_predict_breed(img_path))
+    else:
+        detection = 'Image provided without a human or dog.'
+    return detection
+

 
-my_model = Sequential()
+    

+

+

 
-my_model.add(Conv2D(filters=16, kernel_size=11, strides=4, padding='same', activation='relu', input_shape=(224, 224, 3)))
-my_model.add(Conv2D(filters=32, kernel_size=5, strides=2, padding='same', activation='relu'))
-my_model.add(MaxPooling2D(pool_size=2))
-my_model.add(Dropout(0.2))
-my_model.add(Conv2D(filters=64, kernel_size=2, padding='same', activation='relu'))
-my_model.add(MaxPooling2D(pool_size=2))
-my_model.add(Dropout(0.2))
-my_model.add(Conv2D(filters=128, kernel_size=2, padding='same', activation='relu'))
-my_model.add(GlobalAveragePooling2D())
-my_model.add(Dense(133, activation='softmax'))
+

+

+

+

+

+

+
Step 7: Test Your Algorithm
In this section, you will take your new algorithm for a spin!  What kind of dog does the algorithm think that you look like?  If you have a dog, does it predict your dog's breed accurately?  If you have a cat, does it mistakenly think that your cat is a dog?

+
(IMPLEMENTATION) Test Your Algorithm on Sample Images!
Test your algorithm at least six images on your computer.  Feel free to use any images you like.  Use at least two human and two dog images.

+
Question 6: Is the output better than you expected :) ?  Or worse :( ?  Provide at least three possible points of improvement for your algorithm.

+
Answer: The numbers were similar to the accuracy that the algorithm provided, but after all the testing I've made, I'm a bit frustrated about the results. The main improvements that I could apply are data augmentation and work better with hyperparams calibration, since small changes makes a lot of difference in the overall result, I must spend more time working with them to better undertand the impact of each in the process of training the CNN.

 
-my_model.summary()
+

+

+

+

+

+
In [64]:

+

+    

+
sample_dogs = np.array(glob("./images/samples/*"))
+

+
+    

+

+

+
+

+

+

+
In [65]:

+

+    

+
from IPython.display import Image, display
+
+for path in sample_dogs:
+    print('detecting...')
+    display(Image(filename=path, width=300, height=300))
+    print(detector(path))
 

 
     

@@ -14826,69 +14871,56 @@ 
(IMPLEMENTATION) Write your Algor
 
 
 

-
_________________________________________________________________
-Layer (type)                 Output Shape              Param #   
-=================================================================
-conv2d_13 (Conv2D)           (None, 56, 56, 16)        5824      
-_________________________________________________________________
-max_pooling2d_12 (MaxPooling (None, 28, 28, 16)        0         
-_________________________________________________________________
-dropout_7 (Dropout)          (None, 28, 28, 16)        0         
-_________________________________________________________________
-conv2d_14 (Conv2D)           (None, 14, 14, 32)        12832     
-_________________________________________________________________
-max_pooling2d_13 (MaxPooling (None, 7, 7, 32)          0         
-_________________________________________________________________
-dropout_8 (Dropout)          (None, 7, 7, 32)          0         
-_________________________________________________________________
-conv2d_15 (Conv2D)           (None, 7, 7, 64)          8256      
-_________________________________________________________________
-max_pooling2d_14 (MaxPooling (None, 3, 3, 64)          0         
-_________________________________________________________________
-dropout_9 (Dropout)          (None, 3, 3, 64)          0         
-_________________________________________________________________
-conv2d_16 (Conv2D)           (None, 3, 3, 128)         32896     
-_________________________________________________________________
-global_average_pooling2d_6 ( (None, 128)               0         
-_________________________________________________________________
-dense_6 (Dense)              (None, 133)               17157     
-=================================================================
-Total params: 76,965
-Trainable params: 76,965
-Non-trainable params: 0
-_________________________________________________________________
+
detecting...
 

 

 

 
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In [46]:

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from keras.callbacks import ModelCheckpoint
 
-my_model.compile(loss='categorical_crossentropy', optimizer='rmsprop', metrics=['accuracy'])
+

 
-checkpointer = ModelCheckpoint(filepath='saved_models/weights.best.my_model.hdf5',
-                               verbose=1, save_best_only=True)
+    

 
-my_model.fit(train_tensors, train_targets,
-          validation_data=(valid_tensors, valid_targets),
-          epochs=70, batch_size=20, callbacks=[checkpointer], verbose=1)
-

 
-    

+

+
Dog detected! It's a in/090.Italian_greyhound
+detecting...
+

 

 

 
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@@ -14896,259 +14928,57 @@ 
(IMPLEMENTATION) Write your Algor
 
 
 

-
Train on 6680 samples, validate on 835 samples
-Epoch 1/70
-6620/6680 [============================>.] - ETA: 0s - loss: 4.8869 - acc: 0.0101Epoch 00001: val_loss improved from inf to 4.87386, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 8s 1ms/step - loss: 4.8867 - acc: 0.0102 - val_loss: 4.8739 - val_acc: 0.0108
-Epoch 2/70
-6620/6680 [============================>.] - ETA: 0s - loss: 4.8686 - acc: 0.0080Epoch 00002: val_loss improved from 4.87386 to 4.85085, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 4.8690 - acc: 0.0081 - val_loss: 4.8508 - val_acc: 0.0096
-Epoch 3/70
-6620/6680 [============================>.] - ETA: 0s - loss: 4.8187 - acc: 0.0174Epoch 00003: val_loss improved from 4.85085 to 4.76682, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 4.8180 - acc: 0.0175 - val_loss: 4.7668 - val_acc: 0.0168
-Epoch 4/70
-6620/6680 [============================>.] - ETA: 0s - loss: 4.7446 - acc: 0.0215Epoch 00004: val_loss improved from 4.76682 to 4.68400, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 4.7431 - acc: 0.0214 - val_loss: 4.6840 - val_acc: 0.0240
-Epoch 5/70
-6620/6680 [============================>.] - ETA: 0s - loss: 4.6704 - acc: 0.0316Epoch 00005: val_loss improved from 4.68400 to 4.64125, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 4.6734 - acc: 0.0314 - val_loss: 4.6412 - val_acc: 0.0251
-Epoch 6/70
-6620/6680 [============================>.] - ETA: 0s - loss: 4.5674 - acc: 0.0352Epoch 00006: val_loss improved from 4.64125 to 4.53998, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 4.5675 - acc: 0.0353 - val_loss: 4.5400 - val_acc: 0.0431
-Epoch 7/70
-6620/6680 [============================>.] - ETA: 0s - loss: 4.4595 - acc: 0.0399Epoch 00007: val_loss improved from 4.53998 to 4.40958, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 4.4584 - acc: 0.0401 - val_loss: 4.4096 - val_acc: 0.0491
-Epoch 8/70
-6620/6680 [============================>.] - ETA: 0s - loss: 4.3842 - acc: 0.0485Epoch 00008: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 4.3828 - acc: 0.0488 - val_loss: 4.4543 - val_acc: 0.0431
-Epoch 9/70
-6620/6680 [============================>.] - ETA: 0s - loss: 4.2847 - acc: 0.0576Epoch 00009: val_loss improved from 4.40958 to 4.28609, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 4.2859 - acc: 0.0575 - val_loss: 4.2861 - val_acc: 0.0527
-Epoch 10/70
-6620/6680 [============================>.] - ETA: 0s - loss: 4.2211 - acc: 0.0625Epoch 00010: val_loss improved from 4.28609 to 4.22521, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 4.2187 - acc: 0.0627 - val_loss: 4.2252 - val_acc: 0.0635
-Epoch 11/70
-6620/6680 [============================>.] - ETA: 0s - loss: 4.1638 - acc: 0.0648Epoch 00011: val_loss improved from 4.22521 to 4.18640, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 4.1661 - acc: 0.0644 - val_loss: 4.1864 - val_acc: 0.0575
-Epoch 12/70
-6620/6680 [============================>.] - ETA: 0s - loss: 4.1176 - acc: 0.0764Epoch 00012: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 4.1176 - acc: 0.0763 - val_loss: 4.1892 - val_acc: 0.0611
-Epoch 13/70
-6620/6680 [============================>.] - ETA: 0s - loss: 4.0547 - acc: 0.0841Epoch 00013: val_loss improved from 4.18640 to 4.09288, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 4.0541 - acc: 0.0840 - val_loss: 4.0929 - val_acc: 0.0743
-Epoch 14/70
-6620/6680 [============================>.] - ETA: 0s - loss: 4.0094 - acc: 0.0849Epoch 00014: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 4.0074 - acc: 0.0862 - val_loss: 4.1020 - val_acc: 0.0611
-Epoch 15/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.9582 - acc: 0.0971Epoch 00015: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.9587 - acc: 0.0970 - val_loss: 4.1063 - val_acc: 0.0623
-Epoch 16/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.9007 - acc: 0.1015Epoch 00016: val_loss improved from 4.09288 to 4.01187, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.8985 - acc: 0.1019 - val_loss: 4.0119 - val_acc: 0.0814
-Epoch 17/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.8653 - acc: 0.1063Epoch 00017: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.8652 - acc: 0.1063 - val_loss: 4.0395 - val_acc: 0.0802
-Epoch 18/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.8294 - acc: 0.1168Epoch 00018: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.8278 - acc: 0.1163 - val_loss: 4.0197 - val_acc: 0.0778
-Epoch 19/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.7896 - acc: 0.1169Epoch 00019: val_loss improved from 4.01187 to 3.94036, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.7895 - acc: 0.1166 - val_loss: 3.9404 - val_acc: 0.0958
-Epoch 20/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.7515 - acc: 0.1248Epoch 00020: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.7506 - acc: 0.1246 - val_loss: 4.0709 - val_acc: 0.0743
-Epoch 21/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.7273 - acc: 0.1255Epoch 00021: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.7274 - acc: 0.1260 - val_loss: 3.9446 - val_acc: 0.0886
-Epoch 22/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.6885 - acc: 0.1319Epoch 00022: val_loss improved from 3.94036 to 3.87154, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.6891 - acc: 0.1319 - val_loss: 3.8715 - val_acc: 0.0886
-Epoch 23/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.6627 - acc: 0.1403Epoch 00023: val_loss improved from 3.87154 to 3.86570, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.6637 - acc: 0.1397 - val_loss: 3.8657 - val_acc: 0.0994
-Epoch 24/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.6331 - acc: 0.1388Epoch 00024: val_loss improved from 3.86570 to 3.82946, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.6310 - acc: 0.1395 - val_loss: 3.8295 - val_acc: 0.1018
-Epoch 25/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.6027 - acc: 0.1441Epoch 00025: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.6046 - acc: 0.1437 - val_loss: 3.8820 - val_acc: 0.0958
-Epoch 26/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.5685 - acc: 0.1486Epoch 00026: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.5682 - acc: 0.1488 - val_loss: 3.8985 - val_acc: 0.0970
-Epoch 27/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.5516 - acc: 0.1598Epoch 00027: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.5522 - acc: 0.1594 - val_loss: 3.8917 - val_acc: 0.1114
-Epoch 28/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.5003 - acc: 0.1601Epoch 00028: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.5028 - acc: 0.1594 - val_loss: 3.8673 - val_acc: 0.1006
-Epoch 29/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.4707 - acc: 0.1625Epoch 00029: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.4726 - acc: 0.1627 - val_loss: 4.0873 - val_acc: 0.0826
-Epoch 30/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.4687 - acc: 0.1707Epoch 00030: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.4721 - acc: 0.1707 - val_loss: 3.8861 - val_acc: 0.0970
-Epoch 31/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.4408 - acc: 0.1702Epoch 00031: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.4425 - acc: 0.1698 - val_loss: 3.9220 - val_acc: 0.1090
-Epoch 32/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.3969 - acc: 0.1781Epoch 00032: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.3976 - acc: 0.1774 - val_loss: 3.8863 - val_acc: 0.1030
-Epoch 33/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.3919 - acc: 0.1749Epoch 00033: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.3957 - acc: 0.1746 - val_loss: 3.8761 - val_acc: 0.1030
-Epoch 34/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.3673 - acc: 0.1870Epoch 00034: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.3661 - acc: 0.1876 - val_loss: 3.8526 - val_acc: 0.1126
-Epoch 35/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.3567 - acc: 0.1834Epoch 00035: val_loss improved from 3.82946 to 3.77920, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.3551 - acc: 0.1843 - val_loss: 3.7792 - val_acc: 0.1198
-Epoch 36/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.3355 - acc: 0.1890Epoch 00036: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.3358 - acc: 0.1888 - val_loss: 3.8441 - val_acc: 0.1198
-Epoch 37/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.3089 - acc: 0.1869Epoch 00037: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.3105 - acc: 0.1871 - val_loss: 4.0146 - val_acc: 0.0874
-Epoch 38/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.2829 - acc: 0.1971Epoch 00038: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.2835 - acc: 0.1975 - val_loss: 3.8140 - val_acc: 0.1186
-Epoch 39/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.2996 - acc: 0.1979Epoch 00039: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.3005 - acc: 0.1975 - val_loss: 3.8752 - val_acc: 0.1066
-Epoch 40/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.2607 - acc: 0.2071Epoch 00040: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.2605 - acc: 0.2064 - val_loss: 3.8568 - val_acc: 0.1162
-Epoch 41/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.2237 - acc: 0.2039Epoch 00041: val_loss improved from 3.77920 to 3.77177, saving model to saved_models/weights.best.my_model.hdf5
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.2248 - acc: 0.2033 - val_loss: 3.7718 - val_acc: 0.1305
-Epoch 42/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.2078 - acc: 0.2162Epoch 00042: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.2070 - acc: 0.2162 - val_loss: 3.9256 - val_acc: 0.1042
-Epoch 43/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.1947 - acc: 0.2154Epoch 00043: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.1931 - acc: 0.2156 - val_loss: 3.8721 - val_acc: 0.1246
-Epoch 44/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.1847 - acc: 0.2198Epoch 00044: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.1862 - acc: 0.2198 - val_loss: 3.7960 - val_acc: 0.1317
-Epoch 45/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.1671 - acc: 0.2216Epoch 00045: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.1660 - acc: 0.2217 - val_loss: 3.8285 - val_acc: 0.1222
-Epoch 46/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.1758 - acc: 0.2193Epoch 00046: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.1739 - acc: 0.2195 - val_loss: 3.8622 - val_acc: 0.1257
-Epoch 47/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.1576 - acc: 0.2213Epoch 00047: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.1560 - acc: 0.2213 - val_loss: 3.8289 - val_acc: 0.1162
-Epoch 48/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.1389 - acc: 0.2257Epoch 00048: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.1422 - acc: 0.2250 - val_loss: 4.0203 - val_acc: 0.0922
-Epoch 49/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.1103 - acc: 0.2350Epoch 00049: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.1107 - acc: 0.2347 - val_loss: 3.8417 - val_acc: 0.1174
-Epoch 50/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.0985 - acc: 0.2358Epoch 00050: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.0973 - acc: 0.2362 - val_loss: 3.8736 - val_acc: 0.1090
-Epoch 51/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.0987 - acc: 0.2266Epoch 00051: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.0993 - acc: 0.2260 - val_loss: 3.8226 - val_acc: 0.1174
-Epoch 52/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.0941 - acc: 0.2340Epoch 00052: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.0954 - acc: 0.2331 - val_loss: 3.8596 - val_acc: 0.1198
-Epoch 53/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.0688 - acc: 0.2338Epoch 00053: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.0677 - acc: 0.2347 - val_loss: 3.8691 - val_acc: 0.1198
-Epoch 54/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.0602 - acc: 0.2452Epoch 00054: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.0584 - acc: 0.2452 - val_loss: 3.8169 - val_acc: 0.1281
-Epoch 55/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.0388 - acc: 0.2468Epoch 00055: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.0390 - acc: 0.2466 - val_loss: 3.8522 - val_acc: 0.1126
-Epoch 56/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.0493 - acc: 0.2376Epoch 00056: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.0468 - acc: 0.2376 - val_loss: 3.8391 - val_acc: 0.1198
-Epoch 57/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.0074 - acc: 0.2557Epoch 00057: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.0073 - acc: 0.2560 - val_loss: 3.8511 - val_acc: 0.1246
-Epoch 58/70
-6620/6680 [============================>.] - ETA: 0s - loss: 3.0000 - acc: 0.2488Epoch 00058: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 3.0019 - acc: 0.2488 - val_loss: 3.8591 - val_acc: 0.1114
-Epoch 59/70
-6620/6680 [============================>.] - ETA: 0s - loss: 2.9860 - acc: 0.2545Epoch 00059: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 2.9809 - acc: 0.2551 - val_loss: 3.8320 - val_acc: 0.1174
-Epoch 60/70
-6620/6680 [============================>.] - ETA: 0s - loss: 2.9831 - acc: 0.2468Epoch 00060: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 2.9837 - acc: 0.2472 - val_loss: 3.8783 - val_acc: 0.1186
-Epoch 61/70
-6620/6680 [============================>.] - ETA: 0s - loss: 2.9873 - acc: 0.2541Epoch 00061: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 2.9889 - acc: 0.2540 - val_loss: 3.9328 - val_acc: 0.1066
-Epoch 62/70
-6620/6680 [============================>.] - ETA: 0s - loss: 2.9851 - acc: 0.2559Epoch 00062: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 2.9825 - acc: 0.2564 - val_loss: 3.9469 - val_acc: 0.1162
-Epoch 63/70
-6620/6680 [============================>.] - ETA: 0s - loss: 2.9550 - acc: 0.2583Epoch 00063: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 2.9540 - acc: 0.2585 - val_loss: 3.8602 - val_acc: 0.1317
-Epoch 64/70
-6620/6680 [============================>.] - ETA: 0s - loss: 2.9563 - acc: 0.2598Epoch 00064: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 2.9564 - acc: 0.2597 - val_loss: 3.8396 - val_acc: 0.1210
-Epoch 65/70
-6620/6680 [============================>.] - ETA: 0s - loss: 2.9298 - acc: 0.2672Epoch 00065: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 2.9309 - acc: 0.2674 - val_loss: 3.9362 - val_acc: 0.1066
-Epoch 66/70
-6620/6680 [============================>.] - ETA: 0s - loss: 2.9376 - acc: 0.2630Epoch 00066: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 2.9405 - acc: 0.2623 - val_loss: 3.8559 - val_acc: 0.1150
-Epoch 67/70
-6620/6680 [============================>.] - ETA: 0s - loss: 2.9171 - acc: 0.2640Epoch 00067: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 2.9197 - acc: 0.2636 - val_loss: 3.9044 - val_acc: 0.1114
-Epoch 68/70
-6620/6680 [============================>.] - ETA: 0s - loss: 2.8975 - acc: 0.2692Epoch 00068: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 2.8956 - acc: 0.2692 - val_loss: 3.8261 - val_acc: 0.1377
-Epoch 69/70
-6620/6680 [============================>.] - ETA: 0s - loss: 2.9108 - acc: 0.2671Epoch 00069: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 2.9107 - acc: 0.2668 - val_loss: 3.9664 - val_acc: 0.1162
-Epoch 70/70
-6620/6680 [============================>.] - ETA: 0s - loss: 2.8951 - acc: 0.2728Epoch 00070: val_loss did not improve
-6680/6680 [==============================] - 7s 1ms/step - loss: 2.8922 - acc: 0.2735 - val_loss: 3.9087 - val_acc: 0.1246
+
Dog detected! It's a in/014.Basenji
+detecting...
 

 

 

 
 

 
-    
Out[46]:

+    

 
 
 
 
-

-
<keras.callbacks.History at 0x7f53d8073198>

+

+
 

 
 

 
+

+
+    

+
+
+

+
Dog detected! It's a in/129.Tibetan_mastiff
+detecting...
+

 

 

 
-

-

-

-
In [48]:

-

-    

-
my_model.load_weights('saved_models/weights.best.my_model.hdf5')
+

 
-my_predictions = [np.argmax(my_model.predict(np.expand_dims(feature, axis=0))) for feature in test_tensors]
+    

 
-# report test accuracy
-my_test_accuracy = 100*np.sum(np.array(my_predictions)==np.argmax(test_targets, axis=1))/len(my_predictions)
-print('Test accuracy: %.4f%%' % my_test_accuracy)
-

 
-    

-

-

 
-

-

 
+

+
+

+
+

 
 

 
@@ -15156,121 +14986,152 @@ 
(IMPLEMENTATION) Write your Algor
 
 
 

-
Test accuracy: 13.6364%
+
Dog detected! It's a in/015.Basset_hound
+detecting...
 

 

 

 
-

-

+

 
+    

+
+
+
+
+

+
 

-

-

-

-

-

-
Step 7: Test Your Algorithm
In this section, you will take your new algorithm for a spin!  What kind of dog does the algorithm think that you look like?  If you have a dog, does it predict your dog's breed accurately?  If you have a cat, does it mistakenly think that your cat is a dog?

-
(IMPLEMENTATION) Test Your Algorithm on Sample Images!
Test your algorithm at least six images on your computer.  Feel free to use any images you like.  Use at least two human and two dog images.

-
Question 6: Is the output better than you expected :) ?  Or worse :( ?  Provide at least three possible points of improvement for your algorithm.

-
Answer: The numbers were similar to the accuracy that the algorithm provided, but after all the testing I've made, I'm a bit frustrated about the results. The main improvements that I could apply are data augmentation and work better with hyperparams calibration, since small changes makes a lot of difference in the overall result, I must spend more time working with them to better undertand the impact of each in the process of training the CNN.

 
 

+
+

+
+    

+
+
+

+
Dog detected! It's a in/115.Papillon
+detecting...
+

 

 

-

-

-
In [49]:

-

-    

-
## TODO: Execute your algorithm from Step 6 on
-## at least 6 images on your computer.
-## Feel free to use as many code cells as needed.
 
-def my_predict_breed(img_path):
-    tensor = path_to_tensor(img_path)
-    # obtain predicted vector
-    predicted_vector = my_model.predict(tensor)
-    # return dog breed that is predicted by the model
-    return dog_names[np.argmax(predicted_vector)]
-

+

 
-    

-

+    

+
+
+
+
+

+
 

 
 

-

-

-
In [61]:

-

-    

-
sample_dogs = np.array(glob("./images/dogs/*"))
 
-my_tensors = paths_to_tensor(sample_dogs)
-

+

 
-    

+    

+
+
+

+
Dog detected! It's a in/047.Chesapeake_bay_retriever
+detecting...
+

 

 

 
-

-

+

+
+    

 
 
+
+
+

+
+

+
+

+
 

 
     

 
 
-

-
-  0%|          | 0/6 [00:00<?, ?it/s]
-100%|██████████| 6/6 [00:00<00:00, 59.90it/s]
+

+
Dog detected! It's a in/124.Poodle
+detecting...
 

 

 

 
-

+

+
+    

+
+
+
+
+

+
 

 
 

-

-

-
In [75]:

-

-    

-
my_predictions = [np.argmax(my_model.predict(np.expand_dims(feature, axis=0))) for feature in my_tensors]
 
-names = [dog_names[a-1] for a in my_predictions]
+

 
-right_numbers = [114, 23, 115, 31, 25, 64]
+    

 
-my_accuracy = 100*np.sum(np.array(my_predictions)==np.array(right_numbers))/len(my_predictions)
-print('Test accuracy: %.4f%%' % my_accuracy)
-print("predicted numbers: ", my_predictions)
-print("right numbers: ", right_numbers)
-print("predicted breeds: ", names)
-

 
-    

+

+
Human detected! You look like a in/064.English_toy_spaniel
+detecting...
+

 

 

 
-

-

+

+
+    

+
 
 
+
+

+
+

+
+

+
 

 
     

 
 
 

-
Test accuracy: 16.6667%
-predicted numbers:  [114, 14, 14, 23, 14, 14]
-right numbers:  [114, 23, 115, 31, 25, 64]
-predicted breeds:  ['in/114.Otterhound', 'in/014.Basenji', 'in/014.Basenji', 'in/023.Bernese_mountain_dog', 'in/014.Basenji', 'in/014.Basenji']
+
Human detected! You look like a in/124.Poodle
 

 

 

diff --git a/dog_app.ipynb b/dog_app.ipynb
index 59ba005..1d76d4c 100644
--- a/dog_app.ipynb
+++ b/dog_app.ipynb
@@ -4,8 +4,6 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Artificial Intelligence Nanodegree\n",
-    "\n",
     "## Convolutional Neural Networks\n",
     "\n",
     "## Project: Write an Algorithm for a Dog Identification App \n",
@@ -61,11 +59,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Using TensorFlow backend.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "There are 133 total dog categories.\n",
+      "There are 8351 total dog images.\n",
+      "\n",
+      "There are 6680 training dog images.\n",
+      "There are 835 validation dog images.\n",
+      "There are 836 test dog images.\n"
+     ]
+    }
+   ],
    "source": [
     "from sklearn.datasets import load_files       \n",
     "from keras.utils import np_utils\n",
@@ -80,12 +96,12 @@
     "    return dog_files, dog_targets\n",
     "\n",
     "# load train, test, and validation datasets\n",
-    "train_files, train_targets = load_dataset('dogImages/train')\n",
-    "valid_files, valid_targets = load_dataset('dogImages/valid')\n",
-    "test_files, test_targets = load_dataset('dogImages/test')\n",
+    "train_files, train_targets = load_dataset('/data/dog_images/train')\n",
+    "valid_files, valid_targets = load_dataset('/data/dog_images/valid')\n",
+    "test_files, test_targets = load_dataset('/data/dog_images/test')\n",
     "\n",
     "# load list of dog names\n",
-    "dog_names = [item[20:-1] for item in sorted(glob(\"dogImages/train/*/\"))]\n",
+    "dog_names = [item[20:-1] for item in sorted(glob(\"/data/dog_images/train/*/\"))]\n",
     "\n",
     "# print statistics about the dataset\n",
     "print('There are %d total dog categories.' % len(dog_names))\n",
@@ -106,17 +122,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "There are 13233 total human images.\n"
+     ]
+    }
+   ],
    "source": [
     "import random\n",
     "random.seed(8675309)\n",
     "\n",
     "# load filenames in shuffled human dataset\n",
-    "human_files = np.array(glob(\"lfw/*/*\"))\n",
+    "human_files = np.array(glob(\"/data/lfw/*/*\"))\n",
     "random.shuffle(human_files)\n",
     "\n",
     "# print statistics about the dataset\n",
@@ -138,11 +160,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Number of faces detected: 1\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       ""
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "import cv2                \n",
     "import matplotlib.pyplot as plt                        \n",
@@ -190,10 +230,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 4,
+   "metadata": {},
    "outputs": [],
    "source": [
     "# returns \"True\" if face is detected in image stored at img_path\n",
@@ -216,23 +254,36 @@
     "\n",
     "Ideally, we would like 100% of human images with a detected face and 0% of dog images with a detected face.  You will see that our algorithm falls short of this goal, but still gives acceptable performance.  We extract the file paths for the first 100 images from each of the datasets and store them in the numpy arrays `human_files_short` and `dog_files_short`.\n",
     "\n",
-    "__Answer:__ "
+    "__Answer:__ Percent of faces detected: 100 %\n",
+    "Percent of dogs detected: 11 %\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Percent of faces detected: 100 %\n",
+      "Percent of dogs detected: 11 %\n"
+     ]
+    }
+   ],
    "source": [
     "human_files_short = human_files[:100]\n",
     "dog_files_short = train_files[:100]\n",
     "# Do NOT modify the code above this line.\n",
     "\n",
     "## TODO: Test the performance of the face_detector algorithm \n",
-    "## on the images in human_files_short and dog_files_short."
+    "## on the images in human_files_short and dog_files_short.\n",
+    "detected_faces = [f for f in human_files_short if face_detector(f) == True]\n",
+    "detected_dogs = [d for d in dog_files_short if face_detector(d) == True]\n",
+    "\n",
+    "print('Percent of faces detected:', len(detected_faces), '%')\n",
+    "print('Percent of dogs detected:', len(detected_dogs), '%')"
    ]
   },
   {
@@ -241,22 +292,43 @@
    "source": [
     "__Question 2:__ This algorithmic choice necessitates that we communicate to the user that we accept human images only when they provide a clear view of a face (otherwise, we risk having unneccessarily frustrated users!). In your opinion, is this a reasonable expectation to pose on the user? If not, can you think of a way to detect humans in images that does not necessitate an image with a clearly presented face?\n",
     "\n",
-    "__Answer:__\n",
+    "__Answer:__ Maybe to train a network to identify also human-only objects like shoes, clothes, and so. This would make much easier to identify images with humans.\n",
     "\n",
     "We suggest the face detector from OpenCV as a potential way to detect human images in your algorithm, but you are free to explore other approaches, especially approaches that make use of deep learning :).  Please use the code cell below to design and test your own face detection algorithm.  If you decide to pursue this _optional_ task, report performance on each of the datasets."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "## (Optional) TODO: Report the performance of another  \n",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Percent of faces detected: 100 %\n",
+      "Percent of dogs detected: 20 %\n"
+     ]
+    }
+   ],
+   "source": [
+    "## (Optional) TODO: Report the performance of another \n",
     "## face detection algorithm on the LFW dataset\n",
-    "### Feel free to use as many code cells as needed."
+    "### Feel free to use as many code cells as needed.\n",
+    "ext_face_cascade = cv2.CascadeClassifier('haarcascades/haarcascade_frontalface_alt2.xml')\n",
+    "\n",
+    "def ext_face_detector(img_path):\n",
+    "    img = cv2.imread(img_path)\n",
+    "    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
+    "    faces = ext_face_cascade.detectMultiScale(gray)\n",
+    "    return len(faces) > 0\n",
+    "\n",
+    "## on the images in human_files_short and dog_files_short.\n",
+    "detected_ext_faces = [f for f in human_files_short if ext_face_detector(f) == True]\n",
+    "detected_ext_dogs = [d for d in dog_files_short if ext_face_detector(d) == True]\n",
+    "\n",
+    "print('Percent of faces detected:', len(detected_ext_faces), '%')\n",
+    "print('Percent of dogs detected:', len(detected_ext_dogs), '%')"
    ]
   },
   {
@@ -272,11 +344,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Downloading data from https://github.com/fchollet/deep-learning-models/releases/download/v0.2/resnet50_weights_tf_dim_ordering_tf_kernels.h5\n",
+      "102858752/102853048 [==============================] - 2s 0us/step\n"
+     ]
+    }
+   ],
    "source": [
     "from keras.applications.resnet50 import ResNet50\n",
     "\n",
@@ -315,10 +394,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 8,
+   "metadata": {},
    "outputs": [],
    "source": [
     "from keras.preprocessing import image                  \n",
@@ -352,10 +429,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 9,
+   "metadata": {},
    "outputs": [],
    "source": [
     "from keras.applications.resnet50 import preprocess_input, decode_predictions\n",
@@ -379,16 +454,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 10,
+   "metadata": {},
    "outputs": [],
    "source": [
     "### returns \"True\" if a dog is detected in the image stored at img_path\n",
     "def dog_detector(img_path):\n",
     "    prediction = ResNet50_predict_labels(img_path)\n",
-    "    return ((prediction <= 268) & (prediction >= 151)) "
+    "    return ((prediction <= 268) & (prediction >= 151))"
    ]
   },
   {
@@ -401,19 +474,32 @@
     "- What percentage of the images in `human_files_short` have a detected dog?  \n",
     "- What percentage of the images in `dog_files_short` have a detected dog?\n",
     "\n",
-    "__Answer:__ "
+    "__Answer:__ Percent of faces detected: 0 %\n",
+    "Percent of dogs detected: 100 %\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Percent of faces detected: 0 %\n",
+      "Percent of dogs detected: 100 %\n"
+     ]
+    }
+   ],
    "source": [
     "### TODO: Test the performance of the dog_detector function\n",
-    "### on the images in human_files_short and dog_files_short."
+    "### on the images in human_files_short and dog_files_short.\n",
+    "detected_det_faces = [f for f in human_files_short if dog_detector(f) == True]\n",
+    "detected_det_dogs = [d for d in dog_files_short if dog_detector(d) == True]\n",
+    "\n",
+    "print('Percent of faces detected:', len(detected_det_faces), '%')\n",
+    "print('Percent of dogs detected:', len(detected_det_dogs), '%')"
    ]
   },
   {
@@ -458,11 +544,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "100%|██████████| 6680/6680 [01:14<00:00, 90.14it/s] \n",
+      "100%|██████████| 835/835 [00:08<00:00, 100.76it/s]\n",
+      "100%|██████████| 836/836 [00:08<00:00, 101.32it/s]\n"
+     ]
+    }
+   ],
    "source": [
     "from PIL import ImageFile                            \n",
     "ImageFile.LOAD_TRUNCATED_IMAGES = True                 \n",
@@ -489,24 +583,68 @@
     "           \n",
     "__Question 4:__ Outline the steps you took to get to your final CNN architecture and your reasoning at each step.  If you chose to use the hinted architecture above, describe why you think that CNN architecture should work well for the image classification task.\n",
     "\n",
-    "__Answer:__ "
+    "__Answer:__ I've selected the architecture proposed because i believe it is a good model to begin with. The first criteria to consider was the fact that it uses an intercalation of convolutional layers and pooling layers, it decreases the complexity of the network by keeping the filters of the map that are required for classification and reducing the resolution of the overall feature map. The other criteria was the number of convolutional layers that I believe was a good configuration for a first test of classification. The use of the global average pool in the end of the convolution is also a good thing about the model, because it keeps the knowledge aquired by the network but flats the output shape. The use of the Dense output layer is also good for the model, but I believe that the use of more than one full connected layer by the end of the network could lead to better results. That was the only change I made on the proposed model, added one more dense layer for the output.\n",
+    "\n",
+    "After testing the model for a while, i've decided to remove the additional Dense layer at the end and add a Conv2D layer with another pooling layer. That architecture had better results than the others I've tried."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "_________________________________________________________________\n",
+      "Layer (type)                 Output Shape              Param #   \n",
+      "=================================================================\n",
+      "conv2d_1 (Conv2D)            (None, 224, 224, 16)      208       \n",
+      "_________________________________________________________________\n",
+      "max_pooling2d_2 (MaxPooling2 (None, 112, 112, 16)      0         \n",
+      "_________________________________________________________________\n",
+      "conv2d_2 (Conv2D)            (None, 112, 112, 32)      2080      \n",
+      "_________________________________________________________________\n",
+      "max_pooling2d_3 (MaxPooling2 (None, 56, 56, 32)        0         \n",
+      "_________________________________________________________________\n",
+      "conv2d_3 (Conv2D)            (None, 56, 56, 64)        8256      \n",
+      "_________________________________________________________________\n",
+      "max_pooling2d_4 (MaxPooling2 (None, 28, 28, 64)        0         \n",
+      "_________________________________________________________________\n",
+      "conv2d_4 (Conv2D)            (None, 28, 28, 128)       32896     \n",
+      "_________________________________________________________________\n",
+      "max_pooling2d_5 (MaxPooling2 (None, 14, 14, 128)       0         \n",
+      "_________________________________________________________________\n",
+      "global_average_pooling2d_1 ( (None, 128)               0         \n",
+      "_________________________________________________________________\n",
+      "dense_1 (Dense)              (None, 133)               17157     \n",
+      "=================================================================\n",
+      "Total params: 60,597\n",
+      "Trainable params: 60,597\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n"
+     ]
+    }
+   ],
    "source": [
     "from keras.layers import Conv2D, MaxPooling2D, GlobalAveragePooling2D\n",
     "from keras.layers import Dropout, Flatten, Dense\n",
     "from keras.models import Sequential\n",
     "\n",
+    "### TODO: Define your architecture.\n",
     "model = Sequential()\n",
     "\n",
-    "### TODO: Define your architecture.\n",
+    "model.add(Conv2D(filters=16, kernel_size=2, padding='same', activation='relu', input_shape=(224, 224, 3)))\n",
+    "model.add(MaxPooling2D(pool_size=2))\n",
+    "model.add(Conv2D(filters=32, kernel_size=2, padding='same', activation='relu'))\n",
+    "model.add(MaxPooling2D(pool_size=2))\n",
+    "model.add(Conv2D(filters=64, kernel_size=2, padding='same', activation='relu'))\n",
+    "model.add(MaxPooling2D(pool_size=2))\n",
+    "model.add(Conv2D(filters=128, kernel_size=2, padding='same', activation='relu'))\n",
+    "model.add(MaxPooling2D(pool_size=2))\n",
+    "model.add(GlobalAveragePooling2D())\n",
+    "model.add(Dense(133, activation='softmax'))\n",
     "\n",
     "model.summary()"
    ]
@@ -520,10 +658,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 14,
+   "metadata": {},
    "outputs": [],
    "source": [
     "model.compile(optimizer='rmsprop', loss='categorical_crossentropy', metrics=['accuracy'])"
@@ -542,17 +678,93 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train on 6680 samples, validate on 835 samples\n",
+      "Epoch 1/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.8840 - acc: 0.0104Epoch 00001: val_loss improved from inf to 4.87172, saving model to saved_models/weights.best.from_scratch.hdf5\n",
+      "6680/6680 [==============================] - 24s 4ms/step - loss: 4.8841 - acc: 0.0105 - val_loss: 4.8717 - val_acc: 0.0108\n",
+      "Epoch 2/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.8670 - acc: 0.0120Epoch 00002: val_loss improved from 4.87172 to 4.85380, saving model to saved_models/weights.best.from_scratch.hdf5\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.8669 - acc: 0.0120 - val_loss: 4.8538 - val_acc: 0.0156\n",
+      "Epoch 3/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.8248 - acc: 0.0177Epoch 00003: val_loss improved from 4.85380 to 4.79786, saving model to saved_models/weights.best.from_scratch.hdf5\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.8248 - acc: 0.0177 - val_loss: 4.7979 - val_acc: 0.0192\n",
+      "Epoch 4/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.7414 - acc: 0.0230Epoch 00004: val_loss improved from 4.79786 to 4.71610, saving model to saved_models/weights.best.from_scratch.hdf5\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.7411 - acc: 0.0229 - val_loss: 4.7161 - val_acc: 0.0216\n",
+      "Epoch 5/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.6696 - acc: 0.0332- ETA: 1s - loss: 4.6711 - acc: 0.034 - ETA: 1s - loss: 4.6706Epoch 00005: val_loss did not improve\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.6688 - acc: 0.0334 - val_loss: 4.7386 - val_acc: 0.0311\n",
+      "Epoch 6/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.5993 - acc: 0.0368Epoch 00006: val_loss improved from 4.71610 to 4.63292, saving model to saved_models/weights.best.from_scratch.hdf5\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.5990 - acc: 0.0371 - val_loss: 4.6329 - val_acc: 0.0395\n",
+      "Epoch 7/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.5406 - acc: 0.0404Epoch 00007: val_loss improved from 4.63292 to 4.58069, saving model to saved_models/weights.best.from_scratch.hdf5\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.5410 - acc: 0.0403 - val_loss: 4.5807 - val_acc: 0.0443\n",
+      "Epoch 8/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.4838 - acc: 0.0455- ETA: 0s - loss: 4.4833 - acc: 0.045Epoch 00008: val_loss improved from 4.58069 to 4.56114, saving model to saved_models/weights.best.from_scratch.hdf5\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.4839 - acc: 0.0455 - val_loss: 4.5611 - val_acc: 0.0479\n",
+      "Epoch 9/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.4351 - acc: 0.0502Epoch 00009: val_loss improved from 4.56114 to 4.53171, saving model to saved_models/weights.best.from_scratch.hdf5\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.4351 - acc: 0.0503 - val_loss: 4.5317 - val_acc: 0.0467\n",
+      "Epoch 10/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.3887 - acc: 0.0533Epoch 00010: val_loss improved from 4.53171 to 4.49208, saving model to saved_models/weights.best.from_scratch.hdf5\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.3878 - acc: 0.0533 - val_loss: 4.4921 - val_acc: 0.0467\n",
+      "Epoch 11/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.3501 - acc: 0.0569Epoch 00011: val_loss did not improve\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.3514 - acc: 0.0567 - val_loss: 4.5006 - val_acc: 0.0575\n",
+      "Epoch 12/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.3081 - acc: 0.0589Epoch 00012: val_loss improved from 4.49208 to 4.40134, saving model to saved_models/weights.best.from_scratch.hdf5\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.3075 - acc: 0.0590 - val_loss: 4.4013 - val_acc: 0.0635\n",
+      "Epoch 13/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.2535 - acc: 0.0670- ETA: 1s - loss: 4.25Epoch 00013: val_loss did not improve\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.2537 - acc: 0.0669 - val_loss: 4.4039 - val_acc: 0.0659\n",
+      "Epoch 14/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.2095 - acc: 0.0734Epoch 00014: val_loss improved from 4.40134 to 4.30161, saving model to saved_models/weights.best.from_scratch.hdf5\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.2092 - acc: 0.0735 - val_loss: 4.3016 - val_acc: 0.0766\n",
+      "Epoch 15/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.1669 - acc: 0.0803Epoch 00015: val_loss improved from 4.30161 to 4.28653, saving model to saved_models/weights.best.from_scratch.hdf5\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.1666 - acc: 0.0801 - val_loss: 4.2865 - val_acc: 0.0778\n",
+      "Epoch 16/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.1177 - acc: 0.0859Epoch 00016: val_loss did not improve\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.1186 - acc: 0.0858 - val_loss: 4.3278 - val_acc: 0.0659\n",
+      "Epoch 17/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.0744 - acc: 0.0893Epoch 00017: val_loss improved from 4.28653 to 4.23173, saving model to saved_models/weights.best.from_scratch.hdf5\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.0749 - acc: 0.0892 - val_loss: 4.2317 - val_acc: 0.0754\n",
+      "Epoch 18/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.0313 - acc: 0.0971Epoch 00018: val_loss improved from 4.23173 to 4.22475, saving model to saved_models/weights.best.from_scratch.hdf5\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.0310 - acc: 0.0970 - val_loss: 4.2247 - val_acc: 0.0719\n",
+      "Epoch 19/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 4.0020 - acc: 0.0962Epoch 00019: val_loss did not improve\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 4.0000 - acc: 0.0967 - val_loss: 4.2786 - val_acc: 0.0743\n",
+      "Epoch 20/20\n",
+      "6660/6680 [============================>.] - ETA: 0s - loss: 3.9613 - acc: 0.1051Epoch 00020: val_loss improved from 4.22475 to 4.14169, saving model to saved_models/weights.best.from_scratch.hdf5\n",
+      "6680/6680 [==============================] - 23s 3ms/step - loss: 3.9609 - acc: 0.1049 - val_loss: 4.1417 - val_acc: 0.0802\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       ""
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "from keras.callbacks import ModelCheckpoint  \n",
     "\n",
     "### TODO: specify the number of epochs that you would like to use to train the model.\n",
     "\n",
-    "epochs = ...\n",
+    "epochs = 20\n",
     "\n",
     "### Do NOT modify the code below this line.\n",
     "\n",
@@ -573,10 +785,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 16,
+   "metadata": {},
    "outputs": [],
    "source": [
     "model.load_weights('saved_models/weights.best.from_scratch.hdf5')"
@@ -593,11 +803,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test accuracy: 9.6890%\n"
+     ]
+    }
+   ],
    "source": [
     "# get index of predicted dog breed for each image in test set\n",
     "dog_breed_predictions = [np.argmax(model.predict(np.expand_dims(tensor, axis=0))) for tensor in test_tensors]\n",
@@ -622,13 +838,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 18,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "bottleneck_features = np.load('bottleneck_features/DogVGG16Data.npz')\n",
+    "bottleneck_features = np.load('/data/bottleneck_features/DogVGG16Data.npz')\n",
     "train_VGG16 = bottleneck_features['train']\n",
     "valid_VGG16 = bottleneck_features['valid']\n",
     "test_VGG16 = bottleneck_features['test']"
@@ -645,11 +859,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "_________________________________________________________________\n",
+      "Layer (type)                 Output Shape              Param #   \n",
+      "=================================================================\n",
+      "global_average_pooling2d_2 ( (None, 512)               0         \n",
+      "_________________________________________________________________\n",
+      "dense_2 (Dense)              (None, 133)               68229     \n",
+      "=================================================================\n",
+      "Total params: 68,229\n",
+      "Trainable params: 68,229\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n"
+     ]
+    }
+   ],
    "source": [
     "VGG16_model = Sequential()\n",
     "VGG16_model.add(GlobalAveragePooling2D(input_shape=train_VGG16.shape[1:]))\n",
@@ -667,10 +897,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 20,
+   "metadata": {},
    "outputs": [],
    "source": [
     "VGG16_model.compile(loss='categorical_crossentropy', optimizer='rmsprop', metrics=['accuracy'])"
@@ -685,11 +913,87 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train on 6680 samples, validate on 835 samples\n",
+      "Epoch 1/20\n",
+      "6540/6680 [============================>.] - ETA: 0s - loss: 12.3058 - acc: 0.1343Epoch 00001: val_loss improved from inf to 11.16987, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 364us/step - loss: 12.2825 - acc: 0.1359 - val_loss: 11.1699 - val_acc: 0.1844\n",
+      "Epoch 2/20\n",
+      "6540/6680 [============================>.] - ETA: 0s - loss: 10.5554 - acc: 0.2705Epoch 00002: val_loss improved from 11.16987 to 10.58532, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 271us/step - loss: 10.5440 - acc: 0.2716 - val_loss: 10.5853 - val_acc: 0.2623\n",
+      "Epoch 3/20\n",
+      "6600/6680 [============================>.] - ETA: 0s - loss: 10.1496 - acc: 0.3170Epoch 00003: val_loss improved from 10.58532 to 10.46150, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 259us/step - loss: 10.1553 - acc: 0.3168 - val_loss: 10.4615 - val_acc: 0.2790\n",
+      "Epoch 4/20\n",
+      "6620/6680 [============================>.] - ETA: 0s - loss: 9.9158 - acc: 0.3485Epoch 00004: val_loss improved from 10.46150 to 10.17007, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 258us/step - loss: 9.9133 - acc: 0.3487 - val_loss: 10.1701 - val_acc: 0.3102\n",
+      "Epoch 5/20\n",
+      "6600/6680 [============================>.] - ETA: 0s - loss: 9.8063 - acc: 0.3653Epoch 00005: val_loss improved from 10.17007 to 10.12453, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 259us/step - loss: 9.7947 - acc: 0.3659 - val_loss: 10.1245 - val_acc: 0.3234\n",
+      "Epoch 6/20\n",
+      "6620/6680 [============================>.] - ETA: 0s - loss: 9.6445 - acc: 0.3778Epoch 00006: val_loss improved from 10.12453 to 9.92878, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 260us/step - loss: 9.6420 - acc: 0.3778 - val_loss: 9.9288 - val_acc: 0.3317\n",
+      "Epoch 7/20\n",
+      "6620/6680 [============================>.] - ETA: 0s - loss: 9.4666 - acc: 0.3921Epoch 00007: val_loss improved from 9.92878 to 9.71796, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 259us/step - loss: 9.4637 - acc: 0.3924 - val_loss: 9.7180 - val_acc: 0.3377\n",
+      "Epoch 8/20\n",
+      "6620/6680 [============================>.] - ETA: 0s - loss: 9.3121 - acc: 0.4009Epoch 00008: val_loss improved from 9.71796 to 9.61295, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 259us/step - loss: 9.3014 - acc: 0.4016 - val_loss: 9.6130 - val_acc: 0.3401\n",
+      "Epoch 9/20\n",
+      "6620/6680 [============================>.] - ETA: 0s - loss: 9.1121 - acc: 0.4147Epoch 00009: val_loss improved from 9.61295 to 9.52304, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 259us/step - loss: 9.1116 - acc: 0.4148 - val_loss: 9.5230 - val_acc: 0.3485\n",
+      "Epoch 10/20\n",
+      "6580/6680 [============================>.] - ETA: 0s - loss: 8.9601 - acc: 0.4257Epoch 00010: val_loss improved from 9.52304 to 9.39127, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 260us/step - loss: 8.9665 - acc: 0.4254 - val_loss: 9.3913 - val_acc: 0.3665\n",
+      "Epoch 11/20\n",
+      "6620/6680 [============================>.] - ETA: 0s - loss: 8.8020 - acc: 0.4356Epoch 00011: val_loss improved from 9.39127 to 9.20310, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 259us/step - loss: 8.7931 - acc: 0.4362 - val_loss: 9.2031 - val_acc: 0.3665\n",
+      "Epoch 12/20\n",
+      "6620/6680 [============================>.] - ETA: 0s - loss: 8.6126 - acc: 0.4530Epoch 00012: val_loss improved from 9.20310 to 9.14645, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 259us/step - loss: 8.6182 - acc: 0.4525 - val_loss: 9.1465 - val_acc: 0.3665\n",
+      "Epoch 13/20\n",
+      "6620/6680 [============================>.] - ETA: 0s - loss: 8.5518 - acc: 0.4573Epoch 00013: val_loss improved from 9.14645 to 9.09989, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 258us/step - loss: 8.5547 - acc: 0.4572 - val_loss: 9.0999 - val_acc: 0.3856\n",
+      "Epoch 14/20\n",
+      "6620/6680 [============================>.] - ETA: 0s - loss: 8.4959 - acc: 0.4642Epoch 00014: val_loss improved from 9.09989 to 9.05044, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 258us/step - loss: 8.5104 - acc: 0.4632 - val_loss: 9.0504 - val_acc: 0.3701\n",
+      "Epoch 15/20\n",
+      "6620/6680 [============================>.] - ETA: 0s - loss: 8.3729 - acc: 0.4657Epoch 00015: val_loss improved from 9.05044 to 8.92581, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 259us/step - loss: 8.3776 - acc: 0.4654 - val_loss: 8.9258 - val_acc: 0.3796\n",
+      "Epoch 16/20\n",
+      "6620/6680 [============================>.] - ETA: 0s - loss: 8.2373 - acc: 0.4758Epoch 00016: val_loss improved from 8.92581 to 8.74928, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 260us/step - loss: 8.2276 - acc: 0.4765 - val_loss: 8.7493 - val_acc: 0.3988\n",
+      "Epoch 17/20\n",
+      "6640/6680 [============================>.] - ETA: 0s - loss: 8.0314 - acc: 0.4836Epoch 00017: val_loss improved from 8.74928 to 8.58684, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 256us/step - loss: 8.0430 - acc: 0.4829 - val_loss: 8.5868 - val_acc: 0.3964\n",
+      "Epoch 18/20\n",
+      "6620/6680 [============================>.] - ETA: 0s - loss: 7.8192 - acc: 0.5012Epoch 00018: val_loss improved from 8.58684 to 8.58439, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 258us/step - loss: 7.8468 - acc: 0.4996 - val_loss: 8.5844 - val_acc: 0.3988\n",
+      "Epoch 19/20\n",
+      "6580/6680 [============================>.] - ETA: 0s - loss: 7.7985 - acc: 0.5062Epoch 00019: val_loss improved from 8.58439 to 8.55658, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 259us/step - loss: 7.8027 - acc: 0.5060 - val_loss: 8.5566 - val_acc: 0.4156\n",
+      "Epoch 20/20\n",
+      "6620/6680 [============================>.] - ETA: 0s - loss: 7.7659 - acc: 0.5112Epoch 00020: val_loss improved from 8.55658 to 8.50355, saving model to saved_models/weights.best.VGG16.hdf5\n",
+      "6680/6680 [==============================] - 2s 258us/step - loss: 7.7811 - acc: 0.5102 - val_loss: 8.5036 - val_acc: 0.4216\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       ""
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "checkpointer = ModelCheckpoint(filepath='saved_models/weights.best.VGG16.hdf5', \n",
     "                               verbose=1, save_best_only=True)\n",
@@ -708,10 +1012,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 22,
+   "metadata": {},
    "outputs": [],
    "source": [
     "VGG16_model.load_weights('saved_models/weights.best.VGG16.hdf5')"
@@ -728,11 +1030,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test accuracy: 41.8660%\n"
+     ]
+    }
+   ],
    "source": [
     "# get index of predicted dog breed for each image in test set\n",
     "VGG16_predictions = [np.argmax(VGG16_model.predict(np.expand_dims(feature, axis=0))) for feature in test_VGG16]\n",
@@ -751,10 +1059,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 24,
+   "metadata": {},
    "outputs": [],
    "source": [
     "from extract_bottleneck_features import *\n",
@@ -778,7 +1084,7 @@
     "\n",
     "You will now use transfer learning to create a CNN that can identify dog breed from images.  Your CNN must attain at least 60% accuracy on the test set.\n",
     "\n",
-    "In Step 4, we used transfer learning to create a CNN using VGG-16 bottleneck features.  In this section, you must use the bottleneck features from a different pre-trained model.  To make things easier for you, we have pre-computed the features for all of the networks that are currently available in Keras:\n",
+    "In Step 4, we used transfer learning to create a CNN using VGG-16 bottleneck features.  In this section, you must use the bottleneck features from a different pre-trained model.  To make things easier for you, we have pre-computed the features for all of the networks that are currently available in Keras.  These are already in the workspace, at /data/bottleneck_features.  If you wish to download them on a different machine, they can be found at:\n",
     "- [VGG-19](https://s3-us-west-1.amazonaws.com/udacity-aind/dog-project/DogVGG19Data.npz) bottleneck features\n",
     "- [ResNet-50](https://s3-us-west-1.amazonaws.com/udacity-aind/dog-project/DogResnet50Data.npz) bottleneck features\n",
     "- [Inception](https://s3-us-west-1.amazonaws.com/udacity-aind/dog-project/DogInceptionV3Data.npz) bottleneck features\n",
@@ -788,13 +1094,24 @@
     "\n",
     "    Dog{network}Data.npz\n",
     "    \n",
-    "where `{network}`, in the above filename, can be one of `VGG19`, `Resnet50`, `InceptionV3`, or `Xception`.  Pick one of the above architectures, download the corresponding bottleneck features, and store the downloaded file in the `bottleneck_features/` folder in the repository.\n",
+    "where `{network}`, in the above filename, can be one of `VGG19`, `Resnet50`, `InceptionV3`, or `Xception`.  \n",
+    "\n",
+    "The above architectures are downloaded and stored for you in the `/data/bottleneck_features/` folder.\n",
+    "\n",
+    "This means the following will be in the `/data/bottleneck_features/` folder:\n",
+    "\n",
+    "`DogVGG19Data.npz`\n",
+    "`DogResnet50Data.npz`\n",
+    "`DogInceptionV3Data.npz`\n",
+    "`DogXceptionData.npz`\n",
+    "\n",
+    "\n",
     "\n",
     "### (IMPLEMENTATION) Obtain Bottleneck Features\n",
     "\n",
     "In the code block below, extract the bottleneck features corresponding to the train, test, and validation sets by running the following:\n",
     "\n",
-    "    bottleneck_features = np.load('bottleneck_features/Dog{network}Data.npz')\n",
+    "    bottleneck_features = np.load('/data/bottleneck_features/Dog{network}Data.npz')\n",
     "    train_{network} = bottleneck_features['train']\n",
     "    valid_{network} = bottleneck_features['valid']\n",
     "    test_{network} = bottleneck_features['test']"
@@ -802,13 +1119,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 25,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "### TODO: Obtain bottleneck features from another pre-trained CNN."
+    "### TODO: Obtain bottleneck features from another pre-trained CNN.\n",
+    "bottleneck_features = np.load('/data/bottleneck_features/DogResnet50Data.npz')\n",
+    "train_ResNet50 = bottleneck_features['train']\n",
+    "valid_ResNet50 = bottleneck_features['valid']\n",
+    "test_ResNet50 = bottleneck_features['test']\n"
    ]
   },
   {
@@ -823,19 +1142,42 @@
     "   \n",
     "__Question 5:__ Outline the steps you took to get to your final CNN architecture and your reasoning at each step.  Describe why you think the architecture is suitable for the current problem.\n",
     "\n",
-    "__Answer:__ \n",
+    "__Answer:__ I believe that the simple architecture is enougth, since the learning of the ResNet might be sufficient for generating good results by simply changing the last Dense layer and trainig the CNN with my dog breeds' dataset.\n",
     "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "_________________________________________________________________\n",
+      "Layer (type)                 Output Shape              Param #   \n",
+      "=================================================================\n",
+      "global_average_pooling2d_3 ( (None, 2048)              0         \n",
+      "_________________________________________________________________\n",
+      "dense_3 (Dense)              (None, 133)               272517    \n",
+      "=================================================================\n",
+      "Total params: 272,517\n",
+      "Trainable params: 272,517\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n"
+     ]
+    }
+   ],
    "source": [
-    "### TODO: Define your architecture."
+    "### TODO: Define your architecture.\n",
+    "\n",
+    "res_model = Sequential()\n",
+    "\n",
+    "res_model.add(GlobalAveragePooling2D(input_shape=train_ResNet50.shape[1:]))\n",
+    "res_model.add(Dense(133, activation='softmax'))\n",
+    "\n",
+    "res_model.summary()\n"
    ]
   },
   {
@@ -847,13 +1189,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 27,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "### TODO: Compile the model."
+    "res_model.compile(loss='categorical_crossentropy', optimizer='rmsprop', metrics=['accuracy'])"
    ]
   },
   {
@@ -869,13 +1209,94 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "### TODO: Train the model."
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train on 6680 samples, validate on 835 samples\n",
+      "Epoch 1/20\n",
+      "6480/6680 [============================>.] - ETA: 0s - loss: 1.6624 - acc: 0.5875Epoch 00001: val_loss improved from inf to 0.85612, saving model to saved_models/weights.best.RESNET.hdf5\n",
+      "6680/6680 [==============================] - 2s 280us/step - loss: 1.6401 - acc: 0.5916 - val_loss: 0.8561 - val_acc: 0.7365\n",
+      "Epoch 2/20\n",
+      "6520/6680 [============================>.] - ETA: 0s - loss: 0.4421 - acc: 0.8646Epoch 00002: val_loss improved from 0.85612 to 0.69737, saving model to saved_models/weights.best.RESNET.hdf5\n",
+      "6680/6680 [==============================] - 2s 232us/step - loss: 0.4415 - acc: 0.8644 - val_loss: 0.6974 - val_acc: 0.7713\n",
+      "Epoch 3/20\n",
+      "6520/6680 [============================>.] - ETA: 0s - loss: 0.2672 - acc: 0.9132Epoch 00003: val_loss improved from 0.69737 to 0.65965, saving model to saved_models/weights.best.RESNET.hdf5\n",
+      "6680/6680 [==============================] - 2s 232us/step - loss: 0.2696 - acc: 0.9123 - val_loss: 0.6597 - val_acc: 0.8072\n",
+      "Epoch 4/20\n",
+      "6460/6680 [============================>.] - ETA: 0s - loss: 0.1753 - acc: 0.9467Epoch 00004: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 232us/step - loss: 0.1763 - acc: 0.9467 - val_loss: 0.7246 - val_acc: 0.7892\n",
+      "Epoch 5/20\n",
+      "6500/6680 [============================>.] - ETA: 0s - loss: 0.1200 - acc: 0.9635Epoch 00005: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 229us/step - loss: 0.1222 - acc: 0.9623 - val_loss: 0.6632 - val_acc: 0.8084\n",
+      "Epoch 6/20\n",
+      "6500/6680 [============================>.] - ETA: 0s - loss: 0.0886 - acc: 0.9723Epoch 00006: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 230us/step - loss: 0.0884 - acc: 0.9723 - val_loss: 0.6886 - val_acc: 0.8192\n",
+      "Epoch 7/20\n",
+      "6440/6680 [===========================>..] - ETA: 0s - loss: 0.0645 - acc: 0.9820Epoch 00007: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 232us/step - loss: 0.0650 - acc: 0.9816 - val_loss: 0.7664 - val_acc: 0.8048\n",
+      "Epoch 8/20\n",
+      "6520/6680 [============================>.] - ETA: 0s - loss: 0.0487 - acc: 0.9837Epoch 00008: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 229us/step - loss: 0.0485 - acc: 0.9837 - val_loss: 0.7242 - val_acc: 0.8024\n",
+      "Epoch 9/20\n",
+      "6520/6680 [============================>.] - ETA: 0s - loss: 0.0367 - acc: 0.9897Epoch 00009: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 230us/step - loss: 0.0362 - acc: 0.9900 - val_loss: 0.7674 - val_acc: 0.8144\n",
+      "Epoch 10/20\n",
+      "6560/6680 [============================>.] - ETA: 0s - loss: 0.0282 - acc: 0.9933Epoch 00010: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 229us/step - loss: 0.0278 - acc: 0.9934 - val_loss: 0.8192 - val_acc: 0.8180\n",
+      "Epoch 11/20\n",
+      "6520/6680 [============================>.] - ETA: 0s - loss: 0.0232 - acc: 0.9939Epoch 00011: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 229us/step - loss: 0.0231 - acc: 0.9939 - val_loss: 0.7758 - val_acc: 0.8275\n",
+      "Epoch 12/20\n",
+      "6540/6680 [============================>.] - ETA: 0s - loss: 0.0179 - acc: 0.9942Epoch 00012: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 230us/step - loss: 0.0181 - acc: 0.9942 - val_loss: 0.8076 - val_acc: 0.8204\n",
+      "Epoch 13/20\n",
+      "6540/6680 [============================>.] - ETA: 0s - loss: 0.0125 - acc: 0.9969Epoch 00013: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 228us/step - loss: 0.0132 - acc: 0.9969 - val_loss: 0.8460 - val_acc: 0.8156\n",
+      "Epoch 14/20\n",
+      "6500/6680 [============================>.] - ETA: 0s - loss: 0.0120 - acc: 0.9972Epoch 00014: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 230us/step - loss: 0.0118 - acc: 0.9973 - val_loss: 0.8669 - val_acc: 0.8263\n",
+      "Epoch 15/20\n",
+      "6520/6680 [============================>.] - ETA: 0s - loss: 0.0112 - acc: 0.9969Epoch 00015: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 229us/step - loss: 0.0110 - acc: 0.9970 - val_loss: 0.8673 - val_acc: 0.8275\n",
+      "Epoch 16/20\n",
+      "6500/6680 [============================>.] - ETA: 0s - loss: 0.0080 - acc: 0.9980Epoch 00016: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 229us/step - loss: 0.0084 - acc: 0.9979 - val_loss: 0.8565 - val_acc: 0.8251\n",
+      "Epoch 17/20\n",
+      "6500/6680 [============================>.] - ETA: 0s - loss: 0.0057 - acc: 0.9980Epoch 00017: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 231us/step - loss: 0.0056 - acc: 0.9981 - val_loss: 0.8856 - val_acc: 0.8311\n",
+      "Epoch 18/20\n",
+      "6540/6680 [============================>.] - ETA: 0s - loss: 0.0059 - acc: 0.9983Epoch 00018: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 230us/step - loss: 0.0062 - acc: 0.9982 - val_loss: 0.9594 - val_acc: 0.8228\n",
+      "Epoch 19/20\n",
+      "6520/6680 [============================>.] - ETA: 0s - loss: 0.0064 - acc: 0.9986Epoch 00019: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 229us/step - loss: 0.0063 - acc: 0.9987 - val_loss: 0.9468 - val_acc: 0.8216\n",
+      "Epoch 20/20\n",
+      "6500/6680 [============================>.] - ETA: 0s - loss: 0.0057 - acc: 0.9985Epoch 00020: val_loss did not improve\n",
+      "6680/6680 [==============================] - 2s 230us/step - loss: 0.0056 - acc: 0.9985 - val_loss: 0.9413 - val_acc: 0.8299\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       ""
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "res_checkpointer = ModelCheckpoint(filepath='saved_models/weights.best.RESNET.hdf5', \n",
+    "                               verbose=1, save_best_only=True)\n",
+    "\n",
+    "res_model.fit(train_ResNet50, train_targets, \n",
+    "          validation_data=(valid_ResNet50, valid_targets),\n",
+    "          epochs=20, batch_size=20, callbacks=[res_checkpointer], verbose=1)"
    ]
   },
   {
@@ -887,13 +1308,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 29,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "### TODO: Load the model weights with the best validation loss."
+    "### TODO: Load the model weights with the best validation loss.\n",
+    "res_model.load_weights('saved_models/weights.best.RESNET.hdf5')"
    ]
   },
   {
@@ -907,13 +1327,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "### TODO: Calculate classification accuracy on the test dataset."
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test accuracy: 79.3062%\n"
+     ]
+    }
+   ],
+   "source": [
+    "### TODO: Calculate classification accuracy on the test dataset.\n",
+    "# get index of predicted dog breed for each image in test set\n",
+    "res_predictions = [np.argmax(res_model.predict(np.expand_dims(feature, axis=0))) for feature in test_ResNet50]\n",
+    "\n",
+    "# report test accuracy\n",
+    "res_test_accuracy = 100*np.sum(np.array(res_predictions)==np.argmax(test_targets, axis=1))/len(res_predictions)\n",
+    "print('Test accuracy: %.4f%%' % res_test_accuracy)"
    ]
   },
   {
@@ -938,14 +1370,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 31,
+   "metadata": {},
    "outputs": [],
    "source": [
     "### TODO: Write a function that takes a path to an image as input\n",
-    "### and returns the dog breed that is predicted by the model."
+    "### and returns the dog breed that is predicted by the model.\n",
+    "from extract_bottleneck_features import *\n",
+    "\n",
+    "def res_predict_breed(img_path):\n",
+    "    # extract bottleneck features\n",
+    "    bottleneck_feature = extract_Resnet50(path_to_tensor(img_path))\n",
+    "    # obtain predicted vector\n",
+    "    predicted_vector = res_model.predict(bottleneck_feature)\n",
+    "    # return dog breed that is predicted by the model\n",
+    "    return dog_names[np.argmax(predicted_vector)]"
    ]
   },
   {
@@ -973,14 +1412,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 63,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "### TODO: Write your algorithm.\n",
-    "### Feel free to use as many code cells as needed."
+    "def detector(img_path):\n",
+    "    detection = ''\n",
+    "    if(dog_detector(img_path)):\n",
+    "        detection = 'Dog detected! It\\'s a {}'.format(res_predict_breed(img_path))\n",
+    "    elif(face_detector(img_path)):\n",
+    "        detection = 'Human detected! You look like a {}'.format(res_predict_breed(img_path))\n",
+    "    else:\n",
+    "        detection = 'Image provided without a human or dog.'\n",
+    "    return detection"
    ]
   },
   {
@@ -999,29 +1443,171 @@
     "\n",
     "__Question 6:__ Is the output better than you expected :) ?  Or worse :( ?  Provide at least three possible points of improvement for your algorithm.\n",
     "\n",
-    "__Answer:__ "
+    "__Answer:__ The numbers were similar to the accuracy that the algorithm provided, but after all the testing I've made, I'm a bit frustrated about the results. The main improvements that I could apply are data augmentation and work better with hyperparams calibration, since small changes makes a lot of difference in the overall result, I must spend more time working with them to better undertand the impact of each in the process of training the CNN."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 64,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "## TODO: Execute your algorithm from Step 6 on\n",
-    "## at least 6 images on your computer.\n",
-    "## Feel free to use as many code cells as needed."
+    "sample_dogs = np.array(glob(\"./images/samples/*\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "detecting...\n"
+     ]
+    },
+    {
+     "data": {
+      "image/jpeg": 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\n",
+      "text/plain": [
+       ""
+      ]
+     },
+     "metadata": {
+      "image/jpeg": {
+       "height": 300,
+       "width": 300
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dog detected! It's a in/090.Italian_greyhound\n",
+      "detecting...\n"
+     ]
+    },
+    {
+     "data": {
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+      "text/plain": [
+       ""
+      ]
+     },
+     "metadata": {
+      "image/jpeg": {
+       "height": 300,
+       "width": 300
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dog detected! It's a in/014.Basenji\n",
+      "detecting...\n"
+     ]
+    },
+    {
+     "data": {
+      "image/jpeg": 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\n",
+      "text/plain": [
+       ""
+      ]
+     },
+     "metadata": {
+      "image/jpeg": {
+       "height": 300,
+       "width": 300
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dog detected! It's a in/129.Tibetan_mastiff\n",
+      "detecting...\n"
+     ]
+    },
+    {
+     "data": {
+      "image/jpeg": 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PrnWpp7C7hNuwDRSRSJseJxyAynBB4rwvVbW51Pxw940fm2/2lpGjVN5U7dgYqAc4wvbHXPWvRvB8ctr4ptoUla6CwO9xdSfelk+8QT32qqr7YrpnRpQoKX2jCFatLEWT925+4Hwa8VQ+NPhb4X1eG4S5afT4RM6HOJlULID7hww/Cu0r4H/4Jw/FqaTxF4o8CXcxa0cf2jYqx+5Iu1ZVH1G1sf7B9TX3v2r1cNVVWkpHj4qi6FaUAJxUbtTnqJq7EjmSGE5NAH5UuKdVltiE4ooJxRQSRyc1Smq7KeKoTmgCjN3rNue9aM54NZVy2M0EGODTwcVEp5qRelAEimpB0qNaeOlAEq9aetRipBQA9elOFMAp1Ax4OKeDiowc08GgdyQGnA1EDTwaCkyQe9AOKbS5pl3JAc0dKZS7qhoTQ8GnVHS5I6VNjNxH0U0NS5pEi0UUUAFFFFABWfr2t2nhvRb7Vb6TyrOzhaeVu+1Rk49T6Cr9fLP7ZPxntLLRpPA+mu099KyS6i6fdiQfMsR9WY7WPoAOueObEVo0Kbm/6Z1YahLE1Y018/Q+c/iL8R7/AOKHju41vUSBKwCW9shykEQ+6o+nJPqSTjmvJbaQ2/ja5t1BCTIZQp6jHzZ9R0611GlM0paUqABwR69c/nXmeqeIBF8ULeJ2OHPkgk5PIIFfCqUqspSlq2fobUaUYxirJHe6fqrGS+hyN8TeYMHt/nNXPEejjxFp6SQR/alAB8vPBGADj0PA/Kufssx63MpIIdOc9SDwf5Dj2966HwfqRRp7RyS0OdvOBj6/nWN3B80TSUVNWZ5Zc6JqGnX5jNhuQEDZIuGx6EA4J9yKy9M8PtFcT3ONsgfeVBztHcGvX/E7vcyNvCiVQRnOCe3H5Vy2k6RJe6xFaQRGeSaUIFLYGc4/lXqRxc6kdTy/qdOnK6Pdf2fPBQ1G1n1FoWaSRhBCgXrjk4/PHTt3619IS/CuCPTJIpXdS45VDgj8Rz+NL8FfCEPh3RbSAqitbwBVJ4G48lvzrvb29CiQO4wPvYznPbHrXsYPDpR9pPdnzuOxLnNwi9Dyi70DSJ7OFL2GS4+yEbXlJZgSQOveuV8bfCaw+I2gXmm2xis7h0D20znKNIORkdQM8ZHYng13d5diyu5DKZHXcSEccfj396x7zWLC+uDZuZbS4UnZMny4xzkN6Y5/OumrySVmjipSnB3iz88tf8Bah4U8YXum6raPZ6laynzYpD0Ocgg9wRggjgjB71r6bb3dujXN064SHyYDtC8F/m6de3PvX1V+1h4Fj1zwHpfi+2fz9S0d1tryYnl7Z2wpI9VkI/B2r5fvLpry3G3hU2AbTgYOf8DXjYmU4e50Z9Ng1TrL2ttV+Z7j+wfqMGmfHnQrueYqLm6uLbg8ZeFwi/izKK/V3qK/DH4W+IbjSNXW5s7p7e6tZ1ubeZTzHIrBlYfQgGv1t/Zw/aN0n4+eG5GWMad4ksAE1HTSc7W6eZGf4oyfxHQ9ifQy2rFJ03vc8zNaMm41UtLWPX2GTTCOae3U009a95Hz5HS0HrSda0GHejOKB1pjtgUCIpm4qhO3WrE0nWqM79aBFSd8A+tZVy+c1duZetZdy/WgCitSA9qiU1IOtAEq+9SLUSHNSrzQBIBmpFFRrUgGaAHAU6kApe9Axwpc4pP1paAQ4HNO3VHS7qCiQNTt1RZFKGoC5KDThzUQanBqCrjwaXdj3pmaXNBV0PBpaZnNGfSlYVh+TS7qZk+tBYVPKS4j99LnFMzmjIpWFymX4v8AEMfhTwtq2sygMljayXGz+8VUkL+JwPxr8w/FeqT69rV3d3cjTXFxNJLNJ3dnO5m+uT+lfe/7UPiO00T4Q6razXPk3epGO2tY1PzSN5isw+mxWz+A7ivzylm8+7Ctn5u2evvXyWc1H7WNNPZX+8+vyWjalKo1q3b5L/gl5kNlokrjAIUt068Yr5k1rVJD8QYpmYbopVOfoa+ndbC/2PNnGGU89ccf5+vFfJ3iUmPxXJISOTnPXua8zBq7Z6mKdke+2d4JNSilUhlIzz16j/D9a2rKN7bxCqgjbN8nfqRkV534U1tbtId393BPXGK7q/dlWC5jYnaQQ2cEEH/9dc81yy5WdUHzQujevfD1xqkygRGJom++T1wOtejfAPwEmoeL2up48RWqk+Ycckd/1/Q1J4fFtrlgEYBZZI9oOM54/UHg17H8HbGLStPkcqjMzE5IzkDGPrnFb4Je1qKMtrnBjqvs6Umtz0lTFCgWOQRquATg/N/sj9P1/DkNY1tlEuJVVVyc7s9e5z+I6HtzVjUNUFvbOjszFJOpYk4Qckknn/Jr5N+KP7S8mm63f2emWayXUb7GklAI44GRjHGOnOOtfZJOWiPiG7as9q1/xKlopHnqCMsRk5PTPXjv1+uehrH1vxtJY21reWlss6P8uXwpPJ6Hn046dPrXxfr3xf8AE+uTyPLftapk/wCpYqpPqRjBPPesCTxrrF5OBJq9wWQcSrIVPTt/L8qXsG9w9ouh+jNnqFv448OXumzx7YdRge2lhcjfEzDAIz3HUe+DXxZ4otf+Ec025gmAWWOUw8Hglcg/oTWJ8MviH4j8KaxFdQ6lcXVrHJukilc/Mg6kZ4BAyQau/HbWEkvZDb5Inkluc55JduM14+PpOHJc97LKl+dehyngLUCLx2XlQxX2619FfATx/c/C344+E9cgmMdneXKWd6hJCtE5CPn1wCGHuor5d8FTmPexOTuzjHP417McXfhtZ1J862lSRWI5HOM/rXmRm6c7roe3KCqQcX1P2zY0xhUOnO0mn2zO25zGpZvU4GamY8V90j88GtTT9aGeonlxWiAczgCq0stJJL71Ull96YBNLVCeSnyy1Sml60AQXEnWsu4kyDVqeXrWbcP1oAF4qVeMVAhqVDQBOtSqKiSp0oAkUYqQDNNRakUcUAJTsUoXNLgUDGgYpaKaaAFPFBPpTaTdQMfuo3VHu5pc0DJA2acGqHdShqAJw1KHqDfS76AJwRS7veoA9O30DuTbvel3VDvo8ygfMTbqpavrum+H7NrzVL+1020X7095MsUY4zyzEDsa+fv2mv2vdG+C9ndaLpDx6p4waMgQggxWeRw8h6FuQQn4nAxn81fHfxb8QfEHVPt/iLWL3V9RZtsT3Ehfywf4UUHCj2AA61DmloO7Pt39rn4kaR408U6HBoOsWWt6fYWrSGfTrhZkSZ2O5dykjO1Izj3r5zu2xqaOMAk9T07Y+nHP41heEtMu9K0NDdhlaYiYqedmegPr7/jWhqNzuKZP3ecr0HbivzzHT9riZzTumz9EwMHTwsIyVnY2tYdZtOKBgAUAPfGRXzB8QtPa21tpMEA5/h6c/pX0dqM3m6VbupPcMOnT/wDX+hrw34nQmRmmUY2P26jPFGEfLMnFK8TM8E62YpowxPXDYNe76Ui6lpZOA5C85OM+lfM2iExXMmflYYbg9f8AOK+ifhpeC+sFQYL/AHeevPbFa4qGqkjPCz0cWe1/Du1M1hHJEA2zgKwwVI/h/QV9DeFLB9PhSNNrxjkjOSD1wf8APWvnD4SeKraDWJrGZ1YhsgHnAx19ucj619R6A4FjcXtsjSmNN6Iq5JOCcYH1/rW2BgvaeZ5+YyfJrscF45vGN+XtZgbeaRo7newUKpVgD0OTuwPqx9MV+bF3rtwniG+W+Z5PtGblA/XduIdc/Xac/wC1X6QeKvD+haxqNzeR38+kanIwlNqZTEXbdnaQ3ABIzyM18d/F/wCGVtDpd3/Z/wBm1eK2n5lhVTLAzDeAwQkFSuBkdwa+qpySbPlJxueDTeKF1XUZLR1aOKEhfMGAuW6D3P8A9enWgZbp4twyoOO3enSWkVvBbySQRMyFl3d0Of5//WqvHdoJ2Z1Em4FdpPBHQ10NKSM03Fm74P8AFKX9xcQQ7pYIiY3cr8rcc7a3Pi3qjXGuTxFwSgWLBJ+tJ8KfBx1HWYmMUVtZ+aqIFIBlbrhQTk9KqfGuwi0r4japp8G9Y4pU+93by0LEZ5KkklT3GDXjY7lly8vQ9vLnJSlzdSp4aBiVfmOffrXsOkTeX4akZxvVZInZCeoDrkV5T4asFhtQ4PpwR0r0cXQTwregkjb5Y46/eB/kDXz7+I+njsftf4M8U2HjbwlpGv6U27TtRtY7mDIwQrKDtI7EdCOxBrVc4r5+/YO1uTWP2bNCjlYu9jcXNpknOAJS4H4BxXv0p619xRnzwjLufntaHs6kodmRSPVaSWnSv1qnLJ710IyCSWqskmM0ksmO9VZJKoBJZapTSe9PlkqpK9SBDO9UJ3681YmbNULg0AWUPFTIarx5NWEXmmBYjqwlQR1ZjFMCRBUqimKKkWgBaKKDQA0kUwnNOJxUbHBoAQmkLcU0tTd1IocWo38VEW4rxP4p/te/D/4X3E1g19Jr+sR8NY6TiTy29HkJCL7jJYelAHuG+ob/AFO10qzlu766hs7WIbpJ7iQRog9SxwAPrX54+Pf+CgvjbXJZbbw5Y6d4XgOdrti6ugOnVxt/8cr598Y/FHxH43uUufEGs6jrsuSQLuVmEf8AurnCj6AVLkh2P058U/tb/CrwoCJvFlrqEvaPS1a6z/wNAUH4tXmniP8A4KF+EbNGGheHtW1iUcBrlo7aI+h3Aucf8Br85pNZZUWQKSeAeB931/yKUXv2uUkySbei7CQP6fzxUOY7M+w9a/4KC+Or/cmm6PoemKSeWSSaRR25LgE/8B/CuM1H9sb4vam5jHif7CgOCIbC3Uk+gPlk/rXgNjrBsR5bqiocH5m3Nn1+93/HFV7vxg0O8QiNiw272JJQkYz+RqecLHrt18ffihfKwl8da+iFh88N7JF83YYUjj2rF1L4teM4I5JZfG2u3MrDADarOxcn1y35j2rzkazeycmfzCseBHg7egypGMd+/HJ9eYre0n1R1tYzuGcyMp3A884x2HI9PxrOdTli5MuMHKSQ6eW41u8kuL+4knnk+d5mfLEnuSav+CPCDapqDSxxtIY8EyEcRp349SO9XbrRDaiO2X5pHABGP4iRjPr/APWr1DwlpK6B4blZo/3tywijLDGMdT/+o+leFVxjhBtPVnu0MD7SaT2RLq0qpZKgAbagUrjoTjH865mS73xYBxkkdff/AOvW1r1y25Mt8xXofwI/CuVaUl2PAz0GOhHb8q+XjHqfZSdjpLFDd6ZNCBuZBkEduCP8a8l+IVsfIvAcCPY3Hpjkf0r1Dw5eSQXIJTJLBQD3Hqa5j426UtlprzqCsc8W9SeuSD/+r8K6KOk0jlraxPDtHRRcRNjOeCa9q+El48N4ISDGM4IIOa8j0G1WWyZ8MSBxgV6J4OvGivbe4VtpOFcY6nIBP0r0Ky5k0ebTfJI+g7bwXFPM+qWl063GMyLt+dumADnpnHpxX1n8LbO8g8BWE0yl7p4/M2ucZyAMEfT+leI/ArQY9b1E3En7yONNzRPxtyCP6gV9Q6VZrZ2UUUZMaRxgZUEY44xW+Apvmc2cOYVk4qmjj/EWnaF4it5VutIildHOzzFAzIORjnJIOQPT+fk1z4XsrvUb4f2T9h0vUYFJnhQAiTlgGPcABhjHAAGccV7xqNh5ls+6LzWVyxJQcd8j3/wrwz40a8NN02aw0+ZDqjJ5UfOfJB4DsO7dMA/U8DB9eTa1ex4aV9EfHfx08F+GNA1W+gtZra4u5SXW2gHzITggYUn1Izx92vHvDPh2zluoY5sJcq2Whk64z2z1/pXv3iHwXpHgvS7nVNUSW9u+Xk85j5jHrnOMEH2xXn9hplv4imttViiNpGxdoEkHzYTuT+dZe2bV+hsqavY+kPhB4O026sdMAsIJY4XLOssSybj0JAPqpIz9Pevnf9qGGGP4761ZWtpHZ29mttbRwx9AFt4xkf56Yr7l+Dnhi1m8P2LwtGEkQA9Mg9wa+CvjFO+r/H3xrIzG4xrd3GjA8bFmZUA9gqgD6Vy1L+y5n1OzCr9812JtJsTDpceM5PX/ABrZ1m5EHhq3iVyryzgEZ6qFPX8TVuDRyNLtymdvXd26Vz3imYr/AGdbcrtVpTk9icAfofzrx4e82fSt8sEfpd/wTM19734T+ItMbO201MTqSOP3kSjA/wC/f619eSmvz+/4Je+KiuseMPDzFmNxZw3y7ui+VIyN+fnL+VfoE6k19dgZc2Hj5X/M+JzCPLiZedn+BRnNUJDyTWjPGfSs6ZcE16SZ5xTlc81UkerE9U5TzQBDI9VZGzViQ1WloArSmqU1XJDVOYUAWUNWIutVo6sRk5qgLUdWY+1VU61YQ0AWEPFSg1CpxTw1AEhORTGPNJuyPamlvyoARm5qJ2odutRO3NIBWauF+Kvxk8MfB3Qn1PxFqCQFlY29nGd09yw/hRO/UZJwBkZIrjv2iP2kdK+Cukm1t/K1HxTcJm2sC3yxKeksuOi+g4LdsDJH5qfEfx3rvxB8QXOt+I9Rk1C/m43SH5Y1HRUA4VR/dHHP1Nc1StGDt1N4UpSV+h6h8av2zvGXxUa4sLO4bwx4fY7TY2Mh8yVef9ZLgM3uowp9DXz/ACa0AxSONjxkMeAT7HNZ01w7BmjwV9VPQ9uKbEJItjuJXZmAGEB/M5qefmVw5bGlZxyXLfOASpztDbVx7AemKfc74w2FaR8cd8H2xUNjqDWqsDgMONpBH8/8afNMZkzux1DEHBP0wPp+VZ3bZVlYpQLNIhJJ255dxjPqASAR06GnSNIjOkMpO0ZUxgtxk9WHQ/hUqLJiQcSMTkqxKnPHXH/6/erSmPysyMio3Qkg8+x755/Sq8hFSFxMsWZTEm7BdU3FvoOwz/KlUxXd4hid5I1OBuwHIHfOMf5/NZUP2eV1j8ouQFVuSTjtnp171TV5IpI43YNGQDtYkbiM4+UHke2cfXpRfQVjSuv3d2DAvlMg5Mcu7aWz8pwcA8V6L4U0ePSdIN1JGFaRc/N2OeAD+X5GuF8OWJ1vXFhjBwCCVHzAcD0/SvVdUCxW8UAUuFwWKnbgDjH1z/OvHx9azVNHtZfR5r1GUdOtDqniOJCpkSLDO7dMt0PA9P616RrsccUNtboQVgjy4U45J/nhf1rJ+HOhbftGozlkA6EjIz17dv0/OtDVXUzyybhLCrZ2KOBhR+Xf86+exEtND6bDQSf4nFa3KDMyqSERccHA5P8ATFYAj+8A4VWAKsexxzn9K2tdKvM7I43HO4ds+o/HNYjRNES7AMSOV9cf/W/nWMFodU3qa+nOYJdwZcMMjd2+v6flTPjEp1D4YRXTL86GaLcx5wBnn8x/k1ktfSiRYUYktx6gAnr+VavxJItPgyAZN3m3DqgPcbVXP5/1reEfeTOactGjyL4fWn2q0dSCR6g4P4V0uhQNZai1oFwu8EKSWI9jn86qfCmzZvl8vJIJy3QD2Hr/APWrptes1stUjmztU4DgHG3PqcDn9MCvQWrZ5k3Y+jPgf4jn8PXkd3s8xBGY3iJOJVP6Z98V9MW3xHEulTzxGARCEPCk5ZCx7gsAQByOR+VfIvwuulEkCsxBfAdWPc9s4GO3H1r246bPaWK24DtE4JDkklyemQevbvW9GcqT02ODEQVXXqcz4i+NPiPV7uWxtbyGztwcFbRG3Ht/rG5I9wq1xH2JtX1W2tgzyTHdI2Tktgdz36g/hW54m8PDR9chKxEAxZK44OSwHX61X8NFYfGulzBQUO5SM84PFayk3uzkSS2NP4jeB28f/DyTTkIt7xU2Ru6Zzgg4J6jkcH68V8uXng258DFbC6l8+eFs7Ub5VBzn+dff+p6bBBamRCUGM7FA5446/QV8gfEGwN/q+oXgXy2aViFAyqnP/wBauetVlTSimd2EowqtuSIbX9ou8+FPhdxo9l9o1IgLE96+6CE/3ggwWPtkDpnPQ+G+FYrnxB4nN9eu81zcSmeWViMu7NksfqSTV/4jQulrEp4ywwMU/wAAWx+1rt+dg6sv4Ef41jKo3T1O6NKMKnuo9hOnKmnBAuwCPGM5B4/TpXjviiTPiB14AQKmceoz/M17oEKxImG5jPBHTrj8+f1rxTxta+R4g5yfOjVwOwwSv9K8/DyvzHq142jE+mP+CeniOTRf2gtGtySkOpQXVk5z1/d71H03Rr+NfrAYwRX4lfs5eLV8H/Ffwdqs3ENnqVvLIz5wI96iT9DX7cdRX1WVyvTlHs/zPj82harGXdfkynNFway7mPGa25RkVm3UfWvZPDMOdcVRlXmtS4TrWdMvNWBRcZ61BIMirUgxmq7igCpKKpzDrV6QcVTmGKAJI6spVeMVZjFUBPH6VYSoEFTAcUASrTgTimA0u7HWgBxb3pjNSM1Rs2KABmrxT9ov9oS0+EOjNZafsvPFN1Gfs9v1W3U8CWT29F7kemTXoPxI8c23w98JX2s3AEjxLsggz/rZT9xPz5PoAT2r88PGN5feK9Yu9T1K5a6vb5zJNI4/QewGAAOgHtXk43GLDpQXxP8AA9XA4J4lub+FfieWa3rN5r+s3eoaldyXt/cyGSW5nbezv3J7/wD1hXJeIA0jEk4A6betddr1hJZzebF0U5I29RXM69MLiyMqAFsDI7jHWvKoT55KTZ6mJp8kXFLY5ZSJJEUHgEDdngnt/njoamuyEK8Bn3cDZkY9fpj09ayLmeWKNmVjnafr78jPXirkLqYEGN7FACN3Qdj/APqr3kfOlqINKfL+5kkMzZ7exwe/TFaEWmsEJBVNq7mzg9enGP8AORWdBG32hdhB8vg/PtyeeP8APrWmk4jiIDLsX/lmTnH496AIoy7rh96nO4gxhiO/A/xJ+lOd3M4DRNMsa7N6uUUZ65x/UmpFjUlpFaNGc43oBnHp/n1pLu9ILR5UxbsFQ+fc54OPypDIJdTFuoXI+bhmGTx7gHj689xWHezNNdh0AcyHYuSDx9Bz2/X3xV66nkkLP5KxjkgdSfxzyR61U0uze/1C3iDkMSEPzZOSf8/pScluNJtnq/wl0hbKCS8k3GRl3LhcEcH098V3Y00311llLA4BIGAD7fTBP4D0pNG0JLGxhhjXaQBk5zmt/Tgi3aK2UXB/iweMA/r/AE96+Nr1XUquSPtcNRVKios15LA2nhVxECQjKX5A+UKcn/Pp9a5yOQwWsyud4fKnJ65Tp+ea7LULtLTSUicjy5SsZXoMbWY/oK82mv3a0Zyy733Px0HtXJO8ondR0k2c9q0qK7APkgcKOpG6sOS8fIBTDKAOTkj/ADita7CyzlhwQQST26ZrLuowCVxtfAQsO3PH8v0rSKVhTbbGW4LOmRtl5AwelavxplFr4H0HT35lkXznycD5iX6fTaKr+GNLbXtetLOPc32iYbmA6LjLHp6DNYvxw12C68aW1oGKW9vCAqY4HOAOPZR+ddUY+8kck5aNm58KNE8pINyjcyr16jryOP8A6/Fdn8T9AaPRFuFjxIjhVXaNw7kfke3/AOpfhVpq3Wm2lzFkgqFJI6kcf0r1Lxt4YW68G3AMYMnlgRsy/cYnA59cn8T9BnqitWjzZy2OY+G8MTaXYXcMqo5AB2jJJzwPXt0/Cvpzw1d+dpFujgF1XBdsDHHpnk5r5++EOkf2E/8Awj877nTNxbNIcOy4O5Mn8/ocV9A6dYtZW6qhCtjG0AtnnnGf88/SumG90cNV9GeafECMy+KXL/cSFQueON5JrA0OAHxjYjgjndj1z/jmu08b26T6zbluS8OMY5Xn+v8AjXP6bYi18RWkmMLkrjPTof8AGqlHVnOnoj1u+gaXR5gh/eNGQATjHv8AlXzF4+0FYr3Kh1LkFgeQeOD+o/Wvqa1Cz2IYnJwFPvwa8p+Ifh4TyPJGQxX5ZAB0I7n0zXJXjdXO/C1OWVj4y+Lumi3jtzzgyDg//rqr4Mt1guoXU9GHJ4rsvjppaQ20KgBQCCF9etcX4WljW4i+ZtxAyP6VzNWp2PWi+aake02LpdopUZljOCScDHsfxzXmPxQsfJubGWMEgPImTwexGfzavRNKmMkITO5eoAGNwJzyffgfjXN/FvTs2zNgo0bJJgnOM/L/AFFefQ0k0etXV6aOA0SdorqEBs4OARxkd/1Ofwr9xvgr4yb4g/Cfwp4hlYPcX2nxSTkdPOC7ZP8Ax8NX4V2EqLKGI2jOR69ev6j8q/Vr/gnH46HiL4K3mgyOPP0G/eNUzyIpf3in2+fzfyr6HLJ8tVwfVfkfL5rT5qKmuj/M+rHHFUbletaDCqdwuc19OfKGJcryazZl5rXul5rMnXrVAZ8oqs4xVyRKrSLkUwKUgqpKuavSrjNU5R1oAkjWrKLUMa9KtRrVAPQcVKBSIlShcUANpM460/BFNY1IEbHFROakbpULGgD5u/a01mSW+8PaKnMQSW8kTrk5CIfbHz/nXzjeQpgEg/Uccfy7d69Y/aw1N2+K9rArBhDpcSgdQpMkhOffkfpXjk92jReWZArDnbjv+XtXwuPnzYudz73AQ5cJC3XU5DxLFCysVZGUcEjHHf8Az1ry3VLQwXHlxtlH/EDPrXreraTFNFJtbqMFjxz04/KvK/G+l/Zw/lyYfgke/cZx6Y5rXDSV7GOKTte2xwes2pgSQoNp+YDv+GPSpIiBAu3IUrxg9vrVmaIanZSMc/aEBWRSSCPQ/wCfSqWnTtFb5ZiHT5M45619JSnzKz3PlqsOWV1sy/E5RuGOWPTsPb+daEMoaFkb5h6k9/T/AD61gXMhJjIULuG5cZ9xjPfmtjSpQwRlIcuMcH/GtWYosbVDLKTtZcEqiEZ/QVVncyMyOxVd4wPlHAHT/wCt9K0xG2DgttHQdgSMH0poaAR4ZgABx/nNZ3LsYd41xNGokkJ3AKTnsOnHsP5V1vwz8NSXXiHTIFDENKHY46gcnP5VhpajULmOOFC248NnPU+31r6K+FvgtbO5sLxgAAVJbHUe3P8An+XHiZ8lN2OmhHmmrnS3FpFE+2QZ8tSOehPPU/h+v54Fy6xzhUfzcqfnPXOew7Drj/HFdj4jglt9QR8YXe0jBflXaB+Xv9fXOa43Vo/Iu2d08kQkGQAfKmCOT+Hbrz9K+TWh9mtS743vlj0q2hBYNMMYPVRyPfHWuH1CcxgKTiJhtYDjHT/E/pS6lrv9s6h5+0paxL5cWExkZ64+v86o3UyXO0hskqATngk9D+oq5RcUkyoSTTaKIUmMhmBDoAGIPJ4z/Ksy/wB7Mfm53liD1PXp61qPuiiBb7gVSMDr0BrKupEkfyn+ZhjkcNnp0+ta01dmVSVkdv8ADGwS3bVNTbGLe38uMnsXxyPfAb86858ReHJda1y+v3ClXk2gknPC4Uce2GP1wa9isdGOm6BaaIgMd1P+/vWUcox6Lj0UY/MmpoPB81qS6WqpFvIUthuARkj1Oeh7100tZuXyOKtLlio9dxnwAsHs4H0yYrt374N7Zf0bP5V9Hy+FJNX062g8wxIsyu2PQA4x75x+VeTeFtBNleQziJUUKGBUY98nvnnqea988F6kssSpdAKy4AY8Bv8A69dsYXep5FWbtoc9f/DczSWtzayeTdwMJBcZIO7B5x3/ADwcn1zXaWxkeyiklXFxtzIV6A8dPUen1rdktoHVgr53DJC1k6xdpY2reWnmOFJWOPqeP0FdippanE6jkrM8w8WbpPE2M4EcSqxz0zyP5/pVO+RoHikAyY2Bz6jnPH4mpp9AvpL2a6mZ2d2ZmX0PrjpjoBSXU8kSqJIxIMfMOeeuD+tZ7alb6HdeGb+O/slZXDIW5OemDzRrWmi9iJYYYqQcL09Pr/WvPNE1+XwxNI4UzWrndszgr9K3tX+JFimnSXax3DLGhbaACT6DrUNR6lLm6Hgnxu8D33ibU9K0rSohJfX9ytvHCTsy7sAoz05J6nH9a9X8M/8ABO7TLPShLqHi27Othd0ZtIFFrG3oyt8zj3BT6VwGmavqvjX4y+CZYo3t7O31m1l8tWzvxKpy3rjB4AHvng1+gMbVvhMPTq8zmrm2KxFWioRg7H5ta34T1XwD4hudD1u3NtqELYIHKSJ2dD3VsZyPXnmqfj3Sn1HRAQmXkiaME/3gDj9a+4v2g/g8fih4YjvNMRV8SaYrNak8efGR88JPvjKk9GHUBia+Plt2uvD90j4MsLlguCpBHUY7H1FfP4zCvBV9Phex9TgcXHHUNfiW/wDXmfMcTBGTAGcKOfbqa+yv+CbfxKXwz8Ybjw/POEtfENoYcMcA3EYMkZyf9nzVA7lxXxzrVmdJ1y9tmB/dO+33Q8r/ADH51seBvFF94X12x1bT5Gg1DT7iO5hnQ/dkRgyn8CB+db0pOlUjNdDjrQVWlKm+p++TVWmXIrmPhL8S9M+L3w+0bxTpUqPBfwK0kSsCbeYDEkTe6tkfhnoRXVSjIr7NNNXR8M04uzMi6TrWXcLW3cp1rJnXrVIRlyLmq0i1dlGCaqyCqApyjrVOYdavSDNU5loAmiXNWo1qCEdKuRgU2A5VzUmKFWngUARlajdanK8VE4pAV3FQPxU8lQScUAfB37QOo/a/jD4jvCuGimSBAp6BIkXP5j9a8bv9Qnm1IrEGaM4bkYAxx0HWu9+Imrf8JH8QfEF7EQ9vc6hO6Nn+Audv6YrM8NaKlzqvk3GGYnlR93vgfTr+VfnleperOb6t/mfplCHJRhFdEvyOfkilnkCiInaSfmHb/PNY974S+2KQ0fIGCoXsQccevFfSkPw6jntmMEEbfd3Ht9OO2Mn8Kjb4fwmPy2iiQ9WBbcemO3AwGP51th4yTu0ediqsJRcUz4m1rw7P4dlWZYy6gZZcD5lOAwzj24zWDdWaSXQEAItrhdyHHGR94fyzX1J8Sfh+GjubhLfdG2/5ieQGAOD+tfM91pc9jezac5CssheEn+EkYIB9DgfiBX0UJXXMfLyWvKY17YSxR4K5HqTjB7Y/z1p+jNx5ZjVZFbBUHp7VtqVntQJCRnkMxBB9efz5rHV1huGUurrnBYpxk+n/AOvmuu90YWszplniMAV/v/7px9OOPxrD1dCFOxWI4OccDgfjVqGYJIGADYHGVUH+RPPNWP7MkvgyqCW2nJ54+mcVKaQPUu/De2W/1S3jdwRkc5BOc4/z3r7M0XQ4oLGPylUINo2hMYHX3xnjjtnkV8aaBHNoOsQymN1II27hnHoR619geBvEA1jSLaYRsZASyuhU7VPUNk8Z+vf2rhxOsdDrofEjM8ZSvBPegYhjEGQQ2SOQSAO+c4P+8ewxXmPiO8Mun3udzP5JclecdBnHHPI/KvUfH8629rNIEYov3yjFtuCCMcYx068kLxya8Wubr93e52sVTbtZh6j8+a+ZSvNLsfXQf7py7nP3c4hWJonCgomOeecf4n/IqpDd/veFPRWGOASMED9Kp6mFmul3SBIkHZgAfQULdxwnZbl5GPZfp/jXfKnc5VU5VqWbi62/MhYp1x3+ldh8PfDf2m9/tu9gZ1jcJawMB+9m7H6Dr9cVH4G+HeoeK7pbiWDbCpLGIKQB/vt27cdT2Fe16D4RhttkkybvK/dLsBCIOoC9Mdu5P86Sg5Llj95E6ih70vu/zMXR9GksLwT3CGS4kIJbB+Xp/L1PfHqK9P8AD2kxXECI6LszgAjP4HtUlpozSYPlMVfA5UhwfTJ6D39jj23NL0uaNWVV+b/noVzk9gPxxwPpxXbTpqNkjyatVzbbHr4ZhjJkKAsMucYwPr7ck/X161YtogtzsHC8YX8e1PltbmCM7325z8vGfr+Rx/hUYlMQbBLMW5GMECutWRy6s1oS8MgzM0abc4B7c4H+fSr5jVVO3G45P8z/AJ+lQQozRBiNxwTn+n04NSnGNrMyKQoBU4/iAP8APNapENjVgiZ+gVc8Y/3v5A4/Csy70iK6jBC+SyjhDycDdg//AFvatWCFJBKylkULn6/wj8AfamLG8SuisCDyhK5BBGP0B/nRy33IbscfrXhOUwPsi+ZT+GOuPrXn97p728U9vKvQ45B6d69o3S5InkPU4UjpnGOfY9a4vXYEudWZwoHy7dpPXFZTprdGtOo1oyP4BeAo7rxtDqO1fL04NK/HVyCq/Trn8PpX1LGa80+CWi/2foN3eYI+1zYUEfwoMA/mWr0gNjFephYclP1OHET55+hft35r5t/aN+FB0bVZPF2lwAadfHbqEUYx5UzcCXHoxxk/3iT/ABCvomJ8Grc9na6xYXFjewrc2lwhjlifoykYIoxeGjiqTpy+XkzTB4qWDrKpHbqu6Px3+MektpetQ3igCOTMTdvmByPzH/oNcnpsoQrhiQBjPbnrX1Z+1f8AAfUfA8su4Nd6LdsWs79V4VxyEf0YfqMkdwPlTS0aLbHIoLLwxx3/AKV81GnKEeWotVofUyqwqS56b0ep7F+zn+0F4g+APxAtNQ0+6nk0K5mT+09K3/urmPOG+U8BwD8rdQQB0JB/aC0u4dSsoLu2kWa3njWWORDkOrDII9iCK/CO10Z7uNGjChuvPrX65fsa+OJvGfwA8PpdwTwXujL/AGRMZlwJPKChGU9xsKD6g/U+tga6bdNs8TMKHKlVSPYrleDWRcr1rXunGDWNcuMmvZR4hnzdTVWTmrErZNV5ORVAVpBweM1VlXIzjFXm5qCRc0ALEKtRCq0Iq5EDVASqKfQq07GKkCNqhcCp2HFQyCgCtIKo6hObW0nmVDK0aFwi9WIGcD61fkrO1K8t9Osp7u7mjt7WCNpZZpWCoiAZLEnoAB1pMaPza0iRLmOSaTLt9/IODmrOjzA61AY1EYMgwD1xnisopBLrmoJpDPNpkkrm2kxy0e4heD0OAD+NegeAvBV5qN/FNIrkCQYZlPy+p/T9a/Npq9TkP03mUaXO+x7r4X05pdLUrlc8598c59eKdqPhGC5t185Q7LwU/vMcncffPP4Cui0Cxa3sYYyNo8ssFwc9Dnn/AD1qze26wwvJgAhcdMnof/rV9FCGiPjas25M8l1fwa93azxT3H7gN8qlcgrkA/zz+VfM3xq+HMWn3i3VqkSTwt85zneCO57dB+dfYniLMMhZlxvfLuvoQpH64/GvIfiNZ2+oW01tPGi7wWDggHB43e4G0/nXRB8uhzS11PGPDXw+sfiJpWLcO14oPmrEmQVwMYXIrzbxj8GdW0ErutJ1UncJDGygD+42fukcHB7cc16t8NdQk8Ha81skW+3mYmNjxjk8c98fmAOOlet694ogvLWeGbTZLjI3pGY1beuMjaehyeMDn9BVKfIwceY+GAJrOQ286YA6qw6fj1ra07UPski42mMHJIPTH6V6R478KaX4lmJtP9BvgSFjlGzPP3TySOM4zxz2AryrV/DupeH7xo7m3dAp4Y8D8CPauhSUjKziddql7purW4miZI5/+mceM13Xwj8ctalLS5laVs7SrvwqDGAo4Bz3z69q8NWeRwAZWVwfvb8geg9a6rwfNNFcLIhlDZHyxj07kfn3rOpBOOprTlaWh9P6ncJe6e6sBtkUjZxgdcAD1OT7YrzXw7o2ga1c6jZ6xJeR5ZTatbgbeS2d3Q+hH41vS3U2oWIigmJmaP5znkAdTzknjjJP41xmiudM8UJFOSr7vlDevfivlqv7uWj1PsML+9ptPY7TTv2ZI9ZlDQSyGBsFPNmCZHbOA3f+VenfDr9mHQtKukl1RxfkNtEFvlYgcfxPncR9NvPrW54BvjNZ4+UAKOQCCc9R9Oa9QtdgjgkYKdpAIPQ88jP14rfDy51eTucWJbpvljoVbjwZY6fphtrK1t7eFScRwooQfgP8+vesCfww4RXjUKwJAGccZ/Dr3/ya9WvYC9oox+9J5J6D8PT/AOtWXHpEZYsmDlj8x559fevbcL2SPAU3q2cto9gq4V12kHB2YCn6cdK6eGztogiooZVX7xHT8albTDs2rtBzy3Td6dDUJeS1j2O4AU/NKTyf89K2jGxlJ3MHWI42uGyuB1+np+tc9Kxa+QRqpGc8cdBn/P8A9atTWdTMrHO2NMlmA7A9P6Vl+HQt/PcXROImO1M9VQY5/HrSe5rBWV2bdtIY/LIUtvwM9u/+H61aU8oTgqdpCHrnJJ/lj8qYkcixlm5KtvwBwMd/wJNV5JTFM8iglkG30yM8n2HGfx71cfMyky20DJZyBflYBQDnrgjn+Z/KokLJbglTnmTp0yQcfgF/Wliuw0myZ1C+Xjpx2x+YB/KpPtMboHI2NtMfljk5B6fgSBx61Vl0M7mXf8I0e0EMxOF69Qc/ka5HVEdr855AxyO3vXTz+duIyHUkDHXuf6AfnWXosL6j4y0+EjdvuUJjx1XhmP02g1MldWHF6nuHhKxfSvDWm2sg2yRwKGX0bGSPzNa26o80oPNeulypJHC3d3J0erlvNg1mq2DUySYNUI17uxsNf02bT9TtIL+xnXZLb3CB0ce4NeS6/wDsRfCrxJK8sGn3mjSvyfsVzlc/SQPgewIr0+C5wRzWnbX+3vWU6UKnxq5rTq1KXwSseN+E/wBg/wCHvh7U7W+e+1a7e3kWQQl41jfBBww2EkHvzX0np1tY6Jp8Vlp9rDY2kQISC3QIi85OAOOvNYMWpe9SHUc96zp0KdJ3hGxVSvVraVJXNW5ug3esu4nyetV5b7d3qo85Y9a6DAmeTmomfNRb80gfnmmA8monqTdxUTHmgB8NXIhVWEVciFMCdVzTiOc0IKkxxSAgYVDIOtWWFQSUAUbqVLeKSWV1iiRSzu5AVVHUknoK+D/2pP2kj8QVuPC3huRovDcT4ubzob9l6Ko7Rg4I/vEA8Ac9n+1/8e5bi5ufAugzlbaI7dVuYm5lOP8AUA+g/i9SNvQHPye2mz3Vk108TCINt64PHXIH+eCK8XF4rX2UPmexhMN/y9n8jqfg3OJNQs7ZwXhkZlz17nH16V9m+D/CNppFjGyxqzdSe56YH6V8q/s2W9prHiDS1KBZop3UhwSM5Yr+OMfWvte1sXtdm8qy8ZLDA+npXhYemp1ZVGttD28bVcKcIJ7ojdWijQAkNtHGfYf4VDc5faeCpUAD8cf1qWe4DsvzAcnJziqrXkLR7kbcqlf54/n/ACr14rU8CWxg6rbDyHb72Yo8f7Q4fj35xXl3jPSEaFVlyzxw4X5emCR+rfzr1zUpgtmkZwCCFPuOR/KvNvED/bJ5MN8mwptPJxkkfjnjHvWjijNNnlyeCUuvFEXkyGM7y/plvm6HPoMfiODXQ6j4Z1HQoypJmgBO0pvC7u5BB6Hnv6An1x/GutLoIa5tWK3GVEbA/wAQJ/8A11veBPi9f6hIkGqw212CMGQL5b+3I+X9KzceY0TcdTj/ABD4Kt9fiBuoobeaNcEfdx1bDEDG05OTwAQPUg8Rr2hPovl2F/Auq2rDCmZMNxnhWAIGduRjPBHTv9iQadpmuwxu0UUi8YBUKRzz7f8A6/c5y9V+Fuk3EYNuVjZSrAN8yA5GW29jx2I96pRkkJyTZ8O6z4B0e+iWS0n+ySNllV8YGOwPHuB2/pmaQiaQzRTsr7TgSMTgjPXOev4V9pah8LvD2stsmtIluQ2WZISmWxwT1444HQ+prhPGPwDtJIVmszGsSscpzhD2A54zxx15OKfNpZh1ujx/wT4qWy1iMMyuo+UxtgLjoQTz1BNO8dz22m6qRZQILq5xKtwcMRGew4yuGD8ZPWuo034KSK/l3JMkOFWPnaeWwOvTnPT0PfkReL/Al14U0tvt+ybY4FvIQWc8H5M+vX0xz615OIhy+9a57uCqqTtzWZ6B8OL9p7OGSNz5hiQ4XuepGPwr3XTHjWGDghExwDx6Z/AenPPpXzv8Eba4uoMzAxyZOYwOMA5A/Hp719D6XA5EHQRpyqFidz8g5J+vH0PSsMFDRrzNswlaV0dBbXoaSWSQ7VRjGF3fdA/x4NX4r6GeJyskalDllB249vbpWMvlIjKrEjOf9oE8/wA89az5oy0bSROY37NjpivaUnFaangNKT1OlklRVIHy8jJUDp/nn8aztTl3IQ4wqj6E+9YUfjWKFimoItk4OPNJ/dnn1PT8aTUPEtm1v8t1ESRkFWH4VaqIn2cmcF8R9WhsbaNJJBEJ7hIcsfxPP0Wus8HW9ubABJVcNwSD19ePrXCa9p0vizU7UkJ9ljZiu9eWPrj8ePxrtvD2inTVKopG049h6/596x505aHVOHLCx0slv5aNtLk4yuOx/wA/oTWRJatA7MVKgr9wjjHQfl/nvVyTUjCwjOJWPIAGdvXg9u1ZqXpvbgq4XCA/IevP8xz+nuMdWljz2I8cm0OAuRj5Rxkj2P4/XvTpZBE3ysxWVt2evIGQD+H/AKDT/MDo4YcJnIbnIx3qpLfIgR2JJUchu5GefxB61SsQyWadVUqmMcA+mM9frzXQfD3w3KdVbWZk2W6RmK2VvvMTwW/IY/H2pvgzwl/aCfbr9MQEkxw/3+ep9q9CXaihVAVQMADoK66dO9pMycraIl30u+oS9N312GTJy9Alx1qDdxS5oJLazYqzHcEd6zVbFTI/vQBqx3Z9anF0fWshJDUqye9AGmLjNAkyetUUk981OjZoAtK1SA1AhqVaAJOtRs2Kd14FRsc8CgCzD24q7HxWfCxBq7GxoAtqOM049OagXJpSDQA52A71xfxZ8Wt4L+HmvaxDIEube2YQMRnErfJGcd8MwNdc9eYftBWU+pfCzWILcBnzE5H+ysqkn8MZ+gNc9eTjTlJdEzejBTqRi+rR+cE9pc6lfzCR2dmZi7SEnLHPzE/rXTavpckWgKyxNAVwpPGOVwScDjt+demaV8NYnuZHXY4bliYyu0+ucZpfGHwz1GTSbh4YHdMHOByQBjgdAO9fIUpSm7s+rrqMUopnz34J8azeB/ErXKkhWbcQGC7SOuD2Pp7/AFr7b8DfGzRvG9vFb/aNt/5f3GBG4jBOOOvcj8uK/PPxQJbPULq1u4jDKrYKkYP1/EV9xfsq+ANI1zwRoGqWVusszxE3l4wyRJna6g+uQR9BXXGMlK9PqcdSUXHlqdNj2yw006rp7XMjOsZcheMFhk8nFeW+Ib6fwXr0fkvvtLmfbIpJYNlSQ2T9K961tIbWxESjyoolwNvAUdK+SPjp8UbLS/Fdtprk5VfOYYB25yAD7/eP4ivRnBU15nlKTm7dD1C+1ldTh2qQCUwwHY/z7VxPiHUVgiE+4BlALe5zXKad8ULS5tlVJl24AxuAJP59a5Pxl4rudVj8qBZTAow3lITn1OcYqW7jUdTn/iNrralqsAhYyorFmVOSOn/16o6J4gOnSBm3Bk5bk4X8KwtS1yGwKqm9pnXOApLfiPXI6msL+0L6RSIIVgU85lO4/kP8aEtC2fRHhv42xaWqCe7baCAVeItn8s16f4c+L2k+IIQILhGlUHMZOHOB2Bwf0r4g+x6lK5Zr1st1AQY/WtG2ttUUgpdru9WiyP51XMyeVH3f9vjvc7cDB27ge/r7VTinuLScmCZgecJnKt65H1r5K0rxp490mBY7PV4iiLhEkRyoH0LEV2Hh/wCNvj6CZE1CysbpM8zQbQ3/AHyVH86m1+oWa2PouRDrUbiUqk+NpGBhfXrkHPI5Fcz4o+GreLikd/OkccILW7Iwyc8EYwAOwHXPPSuDi+MmtSuDdW9xCoPHlW8bAflk12Oh/EeHxHNFZbGiuLg+WskkDqu7sCGGOemfeuWvS56bSOrD1ZU6iexleFfDV3pfi8wWh/0e22pIqnPPXGR3x9Ofxr2hbeSGLEhVQQCqgdAcc/j7/wBap/Djw5b2OlXEs8AW6nnYuCnI4Axk8ken1PrXS6oipFK6RYLgjB57cf0rlwVBwp37nXjsQqlS3YwzKRtdFI6KcjnsDx9fXpz+KPDPcAqS65LfKDg4Bxk/570yUnex2bAOoDfeHAIA/P8Ayav2kjwwo55BGQCMD/69dsdZWZ57do3RyXifwzHqNqGu5BOFyQrZIzkdvxrzDUNIj8N6utzFtjiyq7cYBycV7FrVzj7xDBQcEHnpz+OMn8a8e+Il/LE0S7FMLEAsc9R2/l+ANazikVRm9js9J1u1m2hlUMpDde3tXQprKSW4WKVWGBk5/Dt+VeI2Or7Y1UuVAYsCepHGM/59K6/SNXwu3djnG0+x4OfqRWMWo7GlS89zuo5lSTIUsw4bB4PPP9f0qqbhFkGSoKg7Tng9Dj+VUGvnt1zJIqIqksx4+nP51kS6/AZV3B3Zc7flIXqMAfTA/KuhanE9DobSea/kMVvDJPI2AgUfeB9h2GD+ddj4Z8A3LzJcaoPKUc+TuBZvY46D8aT4RpFc2d3etGROH8pSR91cA4H4/wAhXoWc130qKspM5Zzd7IeoCqFUAKBgAdqKbuAoD123MReaTj3oz7UZouIdxR0puKcAO4oAUOO1PViaQCngUgHoalWol4qVQDTAmTrVhDioI1AqygoAmQ4+lTLzUS1Ko4oAf9KYxp+cVG54pgTwirsQqnDV2PmpuOxOtOIoSnt0pDKcxxxXMeLLVdR0u6tJQTFPE0Tj2Iwf511MyZrI1O282JuKieqaNI6O6PIfCHhXyoZIZVKSRMY92fvAdD1z/nrXRzeEo5EUIGVyMbwAufY1NJJNpFw7eU00LH5kXhvqK6Oy1K11C28yKUyBhyCOR7EdR9K8WlRVN8p6VWq6vvnk2vfsx+DvHl7FceIdGivXQcSB2jcj03KQSPqa9M0Dw5o/gLw/b6RodhBpthCNsdvbxhVGTn8SSSSTySc81pT3mY9u8KP9k4zXO6vq8FhFI8kgBAJ2k12JRp6pHK3KejZy3xZ8dWfhTQbu7ussIFLeWOrtjgfy/wD118W6b4K1b4i+LrrX9R00TC5l3J9ofaiDsAOSR0FfQfjoTeOtYtoQryW4nTKkcHLDk/SuoHhC60Sy/wCJfChRMNhk46H8utcrk6svI3S9nHzPONJ+EXk2x8xLe0TZgCCHGOeOW7//AFquXPw6tGB88tOSACFYj69Px/KvWPC8Nn4w06OfeAoJR4sglWHDA+9Y3ijT7HwnqNjcxxskM9ykcqA5Vix2r16ckfgK05LK5lzNs+YPiN8O7DS33RefHIegb5hn057/AI1wH9kLbybJEwwGcGvpP9pDTZv+EdluLaAL5brIGQ8jD5I/KvObe2sfEnhUzpbRpLHHuSQDD8D+vpWfwysa7xuef22lRMR8lbFpo0RxhcVLp9uHIrpLGw3YG2rViHoZttoqnHWtW20TGD0/Ctm0008cVrW+m9OK0SRFzEttMMeO/wCFa9pEYiDjkd61YdM6cVoW+kE/w5q0ibnoXgLxeNWthZXXy3sa58z/AJ6gYAP16ZrfvUk2khi+fm9/XivPPD2nXVrqMclrD5soyNmSAc8ckehwfwr0q1WUxhrhBG/9wHgHFck7xnyo3ilKHMzDlgL4bAPzY2+mTn+tVbq+uLdMeSWGSACevy5/XNb3lK+QRhBgbvaqk8aMmZE+6SFJbr2/oKfL1Jv0OPubW5u1nlcbU4Kqec9AB+tcvq/hWXxQi2VuY/PQ+YpY4yQCcD9evevSr2SGO2wWGCMncfz/AC4/Sszw/DG9294gwigqv1z/AJ/OtoQ5mkyHPl1R4deWP9kT+TPCFkT5Sjg5XA6ex6VENUvYJpXjl/doxZXVRkLweuM+n5V7n4q8HWHioF5W8i4wB5yqCa8g1DTl0q9vrJHM6W7NFvAxkZ68fX9KJUuR67AqjkQQXTagoaW6aTcAFLHPf/69akU32NC5DTMeVQcYP+TXIaU28SYI8pHIZQcH72OPwNb6XksrrDbgRFeHmY59uKhMGXtE8d3nhDxOdVaSVre2hLXlvG+EcHomDxkAcemfevT9E/aT0HWZVT7FeQKcbmYocfrzXguqtM832K1tXls8+bcS5G6Vh255xxWjpF/pe112xoV+VonXP4EfzrWM5x0TCUYy3R9fWWoQahaxXNtKs0Eqh0kQ5DA96sB6+OdK+Imu/CnVEubGdr7QTLuudOkJYBT1KnkgjsR7ZzX1L4S8Z6R420mPUtFvUvrNzjeoIKn0ZSAQfYiu6FRT06nLOm469DohTxUCOamU5rUzHgU7bzxQozUgWgLDVX1qRVpypUipmmIRVqVE9qVY6lROKYDkSpo0xSItTItAD0FSjpTVWnAcUDEaonqU1C7e1IC3CvPvV2PtVKI1ajNIZaQ81JUCtT92aBg4qnPGCKtFqgkNJgYl9pcdwpyOa5XU/DkkTGSF3ik7SRnB/wAD+NdxK6qeTiqkyhx61hKmpGym47HkWrSeLLQMtrqFnKuf+Xm1YsR7lXA/SuI8Qal4ylbCWelyEHh3aTH12/8A1697v9MSfOVArmr/AMMBySvFcc8O3s2dUa9t4r7jx/TLnxDHe2ctxaWbPHIjOUmZBgNk4Gw578Zr2fXX+z6TMeQkfJPTvwP8+mKwpfDZibcByOa6C91KCS2DBAxJWQoRkBgfukelKEHBNMU5+0aaR5B8MNbjh1rX7eN1eGK4UKc9SwyR7cg10XxUuzd6JcxrbvMBF5hkXGEbqpH5Gsbxd4bPh3xhB4j0qAnTNWxDewAZ8qToCfbnGfcV05tLfxHolzpt0/lm5XalwD91tuBn9KhXs4lNK6l0PIfH/iCTxh4EW5tommRI42lc/wADkZKj1IJrynwVFczQz2tsTApXfnGR7gDPvXtmg+Ap/C/hDxHa606WsFtfKYpJmCoxKknknHUiuB0mex0V549Nt5NQlMYjFwMomc5JGeT9R+FZOMm7s0vGKsjldN0mWCZ43Uhgx6jpz0/DpXXaZpr8fLWt4a8I3t6pnuk+dmyABjA9K7qw8ImNRlP0raEHY5pSVzlrHSyQMrWzBpXHQV08WgiMfdqddM2dq2sZt3MCHTQvYVqWmnDjitBLHHardvb7T0rRIkXSrV7e7heIYkDcds+orWvhOGJC4UYzuc4BGMcUafGVuIiq7iG6etV9Tsrm4nka4aGGJsjByzHFc9dPSxvSa1Ea2lEStJMqYKtgdO36cY96x7y0hhASSb0xlz8w6f4c1VuILCHzC9+0YPBBfaD19+Ow/GsC7vtOecs97JcDA+SONnz0zzjgAj+dYJo1aJNb1XTbXJcqXUZ29cnOP5/zrV8PODpEMqfdl+cc9u38q4rU73Tgu+HSbi6kAO0tC3XjqWAA4zXXeFpAvh+2JG1m3Er/AHTuPGO2K6qLu9DGorI03nYcV5H4sshp+t6jJhmiYmaRx1BYZwB35Pb+lepXE3vXD+P7tzYGJMfONrHHOPStpq6MIPU8n0i8MstyWHltJK2EYc4yduf8+ldHZeXbRs2QWkOGDNgH/P8AjXm2saBrtvMJdP1SQBW3CK4RZFx6ZI3Y/Guj8N+IGTZDqts9m8Y4kYboz+P+IFefaSZ2NK2jO6tb2K2QgpheT8oOD9axfE/h6LU4ZbmyVE1CMEq/dsfwmtfSda0pyVS4jKdMiUDHT19Ku39vYxRrKswEgGFWJSxf04HP+fSumOq1MdnoebaTeST2TLqkflIPkdZBggnsR6//AFq9r/Z/n0yK91BNKYxo42T2m7ISRT1HpwTx79qxX8MR+LLXSLuRJotRsJTicIY2ZcDaT2J7f/rrvfhl4EsvD3iK91eKMnUL1dtxcN96QDGM/TArWEXzJinJWaPVYWzjPH1q7GM1BEucVajixjBxXcchKgqZFzTUU455qdF9KBgie1TJHQi1OqUEjVTBqVEpwWpFWgBFTjmplWgCngUxAOKUijNNLYoGNY1BI1SO9VpHpAXYn6CrSNVBGqxG/NBRdV6f5mKrK9O8ygCZnqJ2ppfPeonk96AGSVWcgVK75qvI1Kw7kUgBqrJGDmp3NRPUjuVHtY5Rhh1rC1TwdDeSrICwdeQVYqR+IrogO9PDVEoKW5Sk1scJL4VuSTGs9wVz90kbf5Vh3Hge9QOJL+5bd32R5H0wleqtnNMZA/UA/Ws3RiyvaSPF7/4bnVjEt1JdXqxnMf2qVpFQnrtBOF6dgOlaemfCrT7MKzQ7nHrXqTQgdAKiMIJpqkkJybOVh8Nw26gLGAB7VP8A2Uqj7tdH5A9KQ24Paq5STmm0wf3ahfTsZ4rqWtc9qgks89qVgucs9lg9KFtSG6VvS2XtVc2209OaVh3I9MtiTMwwCkTMM9u1cz4pvtH07J1+88gd4gG27j03EZ6+n8661JRZwTZOCwCj35FeU/Fe2itrK5kuZ5AZY25Kg9VP5CuOvudFI1b3U9NsrdHs7GGKN1zE0iBQfTJ68jv1/KuJbxvf3upXen20EFncWyBlR15xkcj1yAa7HQEi8T+E9Nu7jPmtAgk45DYAYe2etebeL7JNM8W6PqNu53sTDKH4DoT+gBx+TVzNu2h0x1MTxp4y1/RII2FushmbYGPAVgCeR+f5V1Hw71m9ktJYb6QySuomVtuF9CB19V71b8d6Nptz4deKUiNniJ8/HCuDlW98EdP6V574I8bGexR2VQsI5VOp7N/X8hWsJcrTbCcXONrHrdzfgd65PxDMbttvYVIdSW8RJYn3I4yrD0phhMxyea7m7o4UrGAulLIeVzVu20KMkHYPritqHTmdTtwD24q5p8Eyy+XPbsvcOBlTWTsXcz7Pw9AWBaFWI9q6nT9MRAAsajHtVyx08HBA4rbtNOzjitYoybuQ2VhlVUCut0WwFuA2OTVbT9P2kGt63j2AcVskZstxrgVZjquje1To1aiLK9qkxkcAE9ucVAkmalWSgTLMZIPPPvU6MKprJUiyY6daCS6pqQGqQl4qRZs0AXAaXdVUS+9KJqALJbio3eojLUbS0AOkeqsklEktVZZevNAGoj1OklUVbmplf3oHcvLJxS+ZnoeKqBs/Snh6B3LBkqN3zUReml6BXFZqhY0rNmonagBrmomOaV25qPNAwJAFNFLTc80DFzk04dqYOKeDSsApGaZt5p4NNycgfjmpHuKFpQmetKBUgFAEfl+1MeOrAprDmlYZSkiHpVaSAVfkULz0qNkDdagDB8QxrBo7y7N2113YGcD6V4z8fr19L8MXt80ZaCG2Uzk9F8xmRR+OwfrXvlxbGWJxGwViCBuGR+NefeMfCE3irQ9X0DU7L/RNQtDb/bI5BII2HMbEHB4YD16muKrBt3OmnJI83+C3iwar4ctLd0+zvcQ77YHk4A9e/AAP1HfpwXxa1r+y54Yn2+bbsMKTn5QQAf8A9dd38JtFttF8L6bputC60vUNNcxpc3Nq0cZGcAiT7uCcdSM4967fxj8P9F+J3hi60+GS2N8zeZBdQMGV3IG5CR0OQcf/AKq5eWVjpUlFni3xX8Ss3hiOSNtxljRsY6AooIz9P5e9eNeDNTnt7qa3hYFJAZBuXO32x9TXvMXhmS6+BMB8QAxahpuoT2Mm7J3tu49+46dq4Tw14KVb+SW1t38oReTG03ylv9vHUfT6dKahKWpo6kUrdjc8BQ3CaSBKMI8jPGv91T0H869AsdPLgZWmeE/B5s7aOMrhUACgV3Fro3lgDbXdCNkkefOV2zEt9LKjO3OPatK2sywGE4962otOAxxVuKxxjitbGVzLi0+XpEADjjPAzW9YWjFF3oVOBmpbOyZSdxBGeMDGBWpDb4A4q0hNiQQBR0q2i4HpQqYqQLWhLFHAxTt+KbjFNkBZSBwfWmSSiQiniXNV+n1pVaqEWxLT1lzVQNT1bigC6JD608SY71TD04yY5FAF0TUvnc1REoPIOaXzfegC2Zveo2nqq0vvUbze9AFh5veq0kvvUTS1A8tAHQK1SK9aY8F6yP8Al0/8ip/jTl8G6wP+XX/yIn+NAGaHp2+tP/hDtX/59f8AyIn+NL/wh+rj/l1z/wBtE/xoAy91IXrV/wCEQ1f/AJ9P/Iif40h8H6wf+XQf9/E/xoAyGao2bFbR8Hax/wA+n/kVP8aYfBmsE/8AHp/5FT/GgDDJphPNbh8Faz2s/wDyKn+NJ/whOtf8+f8A5FT/ABoAwi2KMc1uf8ITrX/Pn/5FT/Gj/hCda/58/wDyKn+NBVzDFLmtv/hCdax/x5/+RU/xoHgnWv8Anz/8ip/jQBi5waCcjHSto+Cda/58/wDyKn+NJ/whWt4/48v/ACKn+NSO5kKxB65pQSD14PrWuPBWt5/48/8AyKn+NOPgrWv+fMf9/U/xpDuZO8f/AFqaWrYPgrWT/wAuY/7+p/jQfBOtf8+n/kVP8aYrow3ORio29q3z4J1n/nz/APIqf403/hB9a/58/wDyKn+NSx3RzxJHSmv09a6H/hBtaJ5sx/39T/GkbwLrR/5c/wDyKn+NTYLo5QW0b/eUH8Ko3fhywupFka0hMqnKvsG4Hrweorth4D1of8uf/kVP8aD4E1v/AJ8h/wB/U/xqHC+6GpW2Z5Z4j8IjWYmhmf8A0dpvPMYAAMmMbj74FZdn4EtbJwUjB+tewSfD7XXGPsQ/7/J/8VUP/CuNe/58Qf8AttH/APFUcnkPmOAttGSIDCgfhVpbADtXbD4c68P+XEf9/k/+Kpf+Fda6f+XIf9/k/wDiqrlJucULMDtUqWoHauw/4V1ro/5cR/3+T/4qlHw713/nyH/f6P8A+Kp2Fc5mGDFW0jroE+H+uL/y5D/v8n/xVSL4C1tR/wAeQ/7+p/jVpCuc+EoC10X/AAguuZ/48h/39T/Gj/hBNbPWy/8AIqf407EnO4xSEV0Z8Ca5/wA+Y/7+p/jTW8Ba6f8AlyH/AH+T/GnYDnCtNIxXRnwFrpP/AB5D/v8AJ/8AFU0+AddP/LkP+/yf/FUwOeBpwat3/hX+v/8APkP+/wBH/wDFUv8AwgGvf8+I/wC/yf8AxVAGHvo8yts+ANf/AOfEf9/o/wD4qk/4QDX/APnxH/f5P/iqAMTzO1NMlbZ+H/iHIP2Ef9/o/wD4qkPw+8Qn/lw/8jR//FUAYTS4qNps963z8PPEJ/5cB/3/AI//AIqo2+HPiLtYD/v/AB//ABVAHPtN71C8tdEfhv4jP/MPH/f+P/4qmN8NPEn/AEDx/wB/4/8A4qgD3SiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA/9k=\n",
+      "text/plain": [
+       ""
+      ]
+     },
+     "metadata": {
+      "image/jpeg": {
+       "height": 300,
+       "width": 300
+      }
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dog detected! It's a in/015.Basset_hound\n",
+      "detecting...\n"
+     ]
+    },
+    {
+     "data": {
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\n",
+      "text/plain": [
+       ""
+      ]
+     },
+     "metadata": {
+      "image/jpeg": {
+       "height": 300,
+       "width": 300
+      }
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from IPython.display import Image, display\n",
+    "\n",
+    "for path in sample_dogs:\n",
+    "    print('detecting...')\n",
+    "    display(Image(filename=path, width=300, height=300))\n",
+    "    print(detector(path))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Please download your notebook to submit\n",
+    "\n",
+    "In order to submit, please do the following:\n",
+    "1.  Download an HTML version of the notebook to your computer using 'File: Download as...'\n",
+    "2.  Click on the orange Jupyter circle on the top left of the workspace.\n",
+    "3.  Navigate into the dog-project folder to ensure that you are using the provided dog_images, lfw, and bottleneck_features folders; this means that those folders will *not* appear in the dog-project folder.  If they do appear because you downloaded them, delete them.\n",
+    "4.  While in the dog-project folder, upload the HTML version of this notebook you just downloaded.  The upload button is on the top right.\n",
+    "5.  Navigate back to the home folder by clicking on the two dots next to the folder icon, and then open up a terminal under the 'new' tab on the top right\n",
+    "6.  Zip the dog-project folder with the following command in the terminal:\n",
+    " `zip -r dog-project.zip dog-project`\n",
+    "7.  Download the zip file by clicking on the square next to it and selecting 'download'.  This will be the zip file you turn in on the next node after this workspace!"
    ]
   }
  ],
  "metadata": {
   "anaconda-cloud": {},
   "kernelspec": {
-   "display_name": "dog-project",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "dog-project"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1033,7 +1619,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.6.3"
   }
  },
  "nbformat": 4,
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