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Remove extra activation layer in image_classification_from_scratch.py #1418

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Remove extra activation layer in image_classification_from_scratch.py #1418

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6c80aee
Remove extra activation layer in image_classification_from_scratch.py
SuryanarayanaY Jul 6, 2023
7850bfc
Remove unwanted activation layer in image_classification_from_scratch.py
SuryanarayanaY Jul 27, 2023
892c880
Update image_classification_from_scratch.ipynb
SuryanarayanaY Jul 27, 2023
6385b16
Update image_classification_from_scratch.md
SuryanarayanaY Jul 27, 2023
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1 change: 0 additions & 1 deletion examples/vision/image_classification_from_scratch.py
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Original file line number Diff line number Diff line change
Expand Up @@ -235,7 +235,6 @@ def make_model(input_shape, num_classes):
x = layers.Rescaling(1.0 / 255)(inputs)
x = layers.Conv2D(128, 3, strides=2, padding="same")(x)
x = layers.BatchNormalization()(x)
x = layers.Activation("relu")(x)

previous_block_activation = x # Set aside residual

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3 changes: 1 addition & 2 deletions examples/vision/ipynb/image_classification_from_scratch.ipynb
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Expand Up @@ -400,7 +400,6 @@
" x = layers.Rescaling(1.0 / 255)(inputs)\n",
" x = layers.Conv2D(128, 3, strides=2, padding=\"same\")(x)\n",
" x = layers.BatchNormalization()(x)\n",
" x = layers.Activation(\"relu\")(x)\n",
"\n",
" previous_block_activation = x # Set aside residual\n",
"\n",
Expand Down Expand Up @@ -548,4 +547,4 @@
},
"nbformat": 4,
"nbformat_minor": 0
}
}
3 changes: 1 addition & 2 deletions examples/vision/md/image_classification_from_scratch.md
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Expand Up @@ -292,7 +292,6 @@ def make_model(input_shape, num_classes):
x = layers.Rescaling(1.0 / 255)(inputs)
x = layers.Conv2D(128, 3, strides=2, padding="same")(x)
x = layers.BatchNormalization()(x)
x = layers.Activation("relu")(x)

previous_block_activation = x # Set aside residual

Expand Down Expand Up @@ -442,4 +441,4 @@ print(f"This image is {100 * (1 - score):.2f}% cat and {100 * score:.2f}% dog.")
This image is 85.28% cat and 14.72% dog.

```
</div>
</div>
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