Obtain a Keras block of layers for the variational autoencoder

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

# S3 method for 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