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Updated with small changes
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notebooks/demo/mnist_dataset.ipynb

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"mnist_recon_error.calculate_error()\n",
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"\n",
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"# view distribution\n",
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"mnist_recon_error.histogram(\"MNIST Autoencoder: Reconstruction Error Distribution\")"
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"mnist_recon_error.histogram(\"MNIST Autoencoder: Reconstruction Error Distribution\", bins=[100])"
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]
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}
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],

notebooks/demo/tf_flowers.ipynb

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"autoencoder.compile(optimizer=\"adam\", loss=\"mse\")\n",
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"\n",
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"# ... and train\n",
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"history = autoencoder.fit(\n",
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"autoencoder.fit(\n",
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" x=x_train,\n",
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" validation_data=x_val,\n",
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" epochs=50,\n",

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