Jul-10-2020, 07:18 PM
(Jul-10-2020, 06:47 AM)hussainmujtaba Wrote: 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
Hey, thanks. I will take a look at the article.
But i am not using the MNIST Dataset. I am using my own numerical Dataset from a CSV file. And that has only one class. Actually it has no label at all. As far as i know Autoencoders don't need that because they just encode and decode the data.
But yeah as i said i don't realy know where to start to make it run. And in the example they use the binary_crossentropy aswell.