poli.objective_repository.gfp_cbas.make_vae

Functions

build_vae(latent_dim[, n_tokens, ...])	Returns a compiled VAE model
identity_loss(y_true, y_pred)	Returns the predictions
summed_categorical_crossentropy(y_true, y_pred)	Negative log likelihood of categorical distribution

Classes

BaseVAE(input_shape, latent_dim, *args, **kwargs)	Base class for Variational Autoencoders implemented in Keras
SimpleVAE(input_shape, latent_dim[, flatten])	Basic VAE where the encoder and decoder can be constructed from lists of layers