Merge pull request ARM-software#43 from ARM-software/ds-cnn-large-small-

update ds_cnn_large and ds_cnn_small + main README.md

README.md

@@ -185,7 +185,7 @@
         <td><a href="models/keyword_spotting/ds_cnn_large/tflite_int8">DS-CNN Large INT8 *</a></td>
         <td align="center">INT8</td>
         <td align="center">TensorFlow Lite</td>
-        <td align="center">:heavy_multiplication_x: </td>
+        <td align="center">:heavy_check_mark: </td>
         <td align="center">:heavy_check_mark: HERO</td>
         <td align="center">:heavy_check_mark: </td>
         <td align="center">:heavy_check_mark: </td>
@@ -209,7 +209,7 @@
         <td align="center">:heavy_check_mark: HERO</td>
         <td align="center">:heavy_check_mark: </td>
         <td align="center">:heavy_check_mark: </td>
-        <td align="center">0.934</td>
+        <td align="center">0.935</td>
     </tr>
     <tr>
         <td><a href="models/keyword_spotting/micronet_large/tflite_int8">MicroNet Large INT8 </a></td>

models/keyword_spotting/ds_cnn_large/tflite_int8/README.md

@@ -17,8 +17,8 @@ Code to recreate this model can be found here: https://github.com/ARM-software/M
 | Network Information |  Value         |
 |---------------------|------------------|
 |  Framework          | TensorFlow Lite |
-|  SHA-1 Hash         | abaa9d4bf8797801276c00151ee14426aa1b2dcc |
-|  Size (Bytes)       | 530688 |
+|  SHA-1 Hash         | 504f8e7bfa5c0f15c5475e5d08637b3b8aad0972 |
+|  Size (Bytes)       | 503816 |
 |  Provenance         | https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m |
 |  Paper              | https://arxiv.org/abs/1711.07128 |
 
@@ -32,7 +32,7 @@ Dataset: Google Speech Commands Test Set
 ## Performance
 | Platform | Optimized |
 |----------|:---------:|
-| Cortex-A |:heavy_multiplication_x:          |
+| Cortex-A |:heavy_check_mark:          |
 | Cortex-M |:heavy_check_mark: HERO         |
 | Mali GPU |:heavy_check_mark:          |
 | Ethos U  |:heavy_check_mark:          |

models/keyword_spotting/ds_cnn_large/tflite_int8/definition.yaml

@@ -7,12 +7,12 @@ description: 'This is a fully quantized version (asymmetrical int8) of the DS-CN
 license:
 - Apache-2.0
 network:
-  file_size_bytes: 530688
+  file_size_bytes: 503816
   filename: ds_cnn_l_quantized.tflite
   framework: TensorFlow Lite
   hash:
     algorithm: sha1
-    value: abaa9d4bf8797801276c00151ee14426aa1b2dcc
+    value: 504f8e7bfa5c0f15c5475e5d08637b3b8aad0972
   provenance: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m
 network_parameters:
   input_nodes:

models/keyword_spotting/ds_cnn_small/tflite_int8/README.md

@@ -17,8 +17,8 @@ Code to recreate this model can be found here: https://github.com/ARM-software/M
 | Network Information |  Value         |
 |---------------------|------------------|
 |  Framework          | TensorFlow Lite |
-|  SHA-1 Hash         | 9083414c5f3d850bae6599a038f711dd1f21c9c7 |
-|  Size (Bytes)       | 54464 |
+|  SHA-1 Hash         | cf24429e86a9647b1632c382894bc68d26d34039  |
+|  Size (Bytes)       | 47616 |
 |  Provenance         | https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m |
 |  Paper              | https://arxiv.org/abs/1711.07128 |
 
@@ -27,7 +27,7 @@ Dataset: Google Speech Commands Test Set
 
 | Metric | Value |
 |--------|-------|
-| Accuracy | 0.934 |
+| Accuracy | 0.935 |
 
 ## Performance
 | Platform | Optimized |

models/keyword_spotting/ds_cnn_small/tflite_int8/definition.yaml

@@ -1,18 +1,18 @@
 benchmark:
   Google Speech Commands test set:
-    Accuracy: 0.934
+    Accuracy: 0.935
 description: 'This is a fully quantized version (asymmetrical int8) of the DS-CNN
   Small model developed by Arm, with training checkpoints, from the Hello Edge paper.
   Code to recreate this model can be found here: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m'
 license:
 - Apache-2.0
 network:
-  file_size_bytes: 54464
+  file_size_bytes: 47616
   filename: ds_cnn_s_quantized.tflite
   framework: TensorFlow Lite
   hash:
     algorithm: sha1
-    value: 9083414c5f3d850bae6599a038f711dd1f21c9c7
+    value: cf24429e86a9647b1632c382894bc68d26d34039
   provenance: https://github.com/ARM-software/ML-examples/tree/master/tflu-kws-cortex-m
 network_parameters:
   input_nodes: