Specifies an evaluation function adapted to the variational autoencoder. It combines a base reconstruction error and the Kullback-Leibler divergence between the learned distribution and the true latent posterior.

loss_variational(reconstruction_loss)

## Arguments

reconstruction_loss Another loss to be used as reconstruction error (e.g. "binary_crossentropy")

## Value

A "ruta_loss" object

## References

autoencoder_variational
Other loss functions: contraction, correntropy