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Using Autoencoder for Data Augmentation of numerical Dataset in Python
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Using Autoencoder for Data Augmentation of numerical Dataset in Python
#2
You should use the loss function 'sparse_categorical_crossentropy' instead of 'binary cross-entropy' as MNIST has more categories than 2.
For a guide, you can take look at this article about auto-encoders
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RE: Using Autoencoder for Data Augmentation of numerical Dataset in Python - by hussainmujtaba - Jul-10-2020, 06:47 AM

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