Jul-10-2020, 06:47 AM
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
For a guide, you can take look at this article about auto-encoders