to_keras.ruta_layer_variational

Number of features in training data

input_shape

Keras model where the layers will be added

model

This block contains two dense layers representing the mean and log var of a Gaussian
distribution and a sampling layer.

Implementation of several unsupervised neural networks,
from building their architecture to their training and evaluation. Available
networks are auto-encoders including their main variants: sparse, contractive,
denoising, robust and variational, as described in Charte et al. (2018)
<doi:10.1016/j.inffus.2017.12.007>.

David Charte

to_keras.ruta_layer_variational: Obtain a Keras block of layers for the variational autoencoder

Description

Usage

Arguments

Value

References