vae_loss_independent {ML2Pvae} | R Documentation |
A custom loss function for a VAE learning a standard normal distribution
Description
A custom loss function for a VAE learning a standard normal distribution
Usage
vae_loss_independent(encoder, kl_weight, rec_dim)
Arguments
encoder |
the encoder model of the VAE, used to obtain z_mean and z_log_var from inputs |
kl_weight |
weight for the KL divergence term |
rec_dim |
the number of nodes in the input/output of the VAE |
Value
returns a function whose parameters match keras loss format
[Package ML2Pvae version 1.0.0.1 Index]