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Merge pull request #6 from rahulptel/deep-learning-local-branch
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8.4-generating-images-with-vaes.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Here is the code for using `z_mean` and `z_log_var`, the parameters of the statistical distribution assumed to have produced `img_img`, to \n",
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"Here is the code for using `z_mean` and `z_log_var`, the parameters of the statistical distribution assumed to have produced `input_img`, to \n",
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"generate a latent space point `z`. Here, we wrap some arbitrary code (built on top of Keras backend primitives) into a `Lambda` layer. In \n",
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"Keras, everything needs to be a layer, so code that isn't part of a built-in layer should be wrapped in a `Lambda` (or else, in a custom \n",
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"layer)."

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