Hello everyone,
what is the term for an autoencoder, that is trained not to reconstruct X, but to create another output y instead. I’ve heard the term somewhere, but can’t remember it.
For example the autoencoder the autoencoder is trained on the MNIST dataset not to reconstruct the given number X_hat, but to create an image of another number Y.
The loss function would be like that:
