Fix error

ocademy-ai · Nov 19, 2023 · 5b404f1 · 5b404f1
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diff --git a/open-machine-learning-jupyter-book/deep-learning/autoencoder.ipynb b/open-machine-learning-jupyter-book/deep-learning/autoencoder.ipynb
@@ -63,28 +63,19 @@
     "- Find directions of maximum variance\n",
     "\n",
     ":::{figure} https://static-1300131294.cos.ap-shanghai.myqcloud.com/images/deep-learning/autoencoder/01_PCA1.png\n",
-    "---\n",
-    "name: Illustration of PCA 1\n",
-    "---\n",
-    "PCA 1\n",
+    "Illustration of PCA\n",
     ":::\n",
     "\n",
     "- Transform features onto directions of maximum variance\n",
     "\n",
     ":::{figure} https://static-1300131294.cos.ap-shanghai.myqcloud.com/images/deep-learning/autoencoder/02_PCA2.png\n",
-    "---\n",
-    "name: Illustration of PCA 2\n",
-    "---\n",
-    "PCA 2\n",
+    "Illustration of PCA\n",
     ":::\n",
     "\n",
     "- Usually consider a subset of vectors of most variance (dimensionality reduction)\n",
     "\n",
     ":::{figure} https://static-1300131294.cos.ap-shanghai.myqcloud.com/images/deep-learning/autoencoder/03_PCA3.png\n",
-    "---\n",
-    "name: Illustration of PCA 3\n",
-    "---\n",
-    "PCA 3\n",
+    "Illustration of PCA\n",
     ":::"
    ]
   },
@@ -97,10 +88,7 @@
     "Here is an example of a basic fully-connected autoencoder\n",
     "\n",
     ":::{figure} https://static-1300131294.cos.ap-shanghai.myqcloud.com/images/deep-learning/autoencoder/04_simple.png\n",
-    "---\n",
-    "name: Illustration of Fully Connected autoencoder\n",
-    "---\n",
-    "Simple\n",
+    "Illustration of Fully Connected autoencoder\n",
     ":::\n",
     "\n",
     ":::{note}\n",
@@ -125,21 +113,15 @@
     "The difference between regular convolution and transposed convolution can be seen from the following image.\n",
     "\n",
     ":::{figure} https://static-1300131294.cos.ap-shanghai.myqcloud.com/images/deep-learning/autoencoder/05_diff_conv.png\n",
-    "---\n",
-    "name: Difference between regular and transposed convolution\n",
-    "---\n",
-    "diff\n",
+    "Difference between regular and transposed convolution\n",
     ":::\n",
     "\n",
     "In transposed convolutions, we stride over the output; hence, larger strides will result in larger outputs (opposite to regular convolutions); and we pad the output; hence, larger padding will result in smaller output maps.\n",
     "\n",
     "So, the whole model consists of two parts, encoder and decoder, and they are composed with regular convolution and transposed convolution respectively.\n",
     "\n",
     ":::{figure} https://static-1300131294.cos.ap-shanghai.myqcloud.com/images/deep-learning/autoencoder/06_convmodel.png\n",
-    "---\n",
-    "name: Structure of convoluted autoencoder\n",
-    "---\n",
-    "Structure\n",
+    "Structure of convoluted autoencoder\n",
     ":::\n",
     "\n",
     ":::{note}\n",

diff --git a/open-machine-learning-jupyter-book/deep-learning/cnn.ipynb b/open-machine-learning-jupyter-book/deep-learning/cnn.ipynb
@@ -615,28 +615,19 @@
     "The style image is\n",
     "\n",
     ":::{figure} https://static-1300131294.cos.ap-shanghai.myqcloud.com/images/deep-learning/CNN/starry_night.jpg\n",
-    "---\n",
     "name: Style image starry night\n",
-    "---\n",
-    "starry night\n",
     ":::\n",
     "\n",
     "The context image is below.\n",
     "\n",
     ":::{figure} https://static-1300131294.cos.ap-shanghai.myqcloud.com/images/deep-learning/CNN/book_cover.jpg\n",
-    "---\n",
     "name: Content image book cover\n",
-    "---\n",
-    "book cover\n",
     ":::\n",
     "\n",
     "The final result looks like\n",
     "\n",
     ":::{figure} https://static-1300131294.cos.ap-shanghai.myqcloud.com/images/deep-learning/CNN/05_stylenet_ex.png\n",
-    "---\n",
     "name: stylenet final result\n",
-    "---\n",
-    "stylenet\n",
     ":::\n"
    ]
   },
@@ -888,10 +879,7 @@
     "Here are some potential outputs.\n",
     "\n",
     ":::{figure} https://static-1300131294.cos.ap-shanghai.myqcloud.com/images/deep-learning/CNN/06_deepdream_ex.png\n",
-    "---\n",
     "name: Deepdream outputs\n",
-    "---\n",
-    "deepdream\n",
     ":::"
    ]
   },