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

In fdavidcl/ruta: Implementation of Unsupervised Neural Architectures

Obtain a Keras block of layers for the variational autoencoder

Description

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

Usage

## S3 method for class 'ruta_layer_variational'
to_keras(x, input_shape, model = keras::keras_model_sequential(), ...)

Arguments

x	The layer object
input_shape	Number of features in training data
model	Keras model where the layers will be added
...	Unused

Value

A Layer object from Keras

References

• Auto-Encoding Variational Bayes

• Under the Hood of the Variational Autoencoder (in Prose and Code)

• Keras example: Variational autoencoder

fdavidcl/ruta documentation built on July 5, 2023, 6:32 p.m.