R/autoencoder_denoising.R
autoencoder_denoising.Rd
A denoising autoencoder trains with noisy data in order to create a model able to reduce noise in reconstructions from input data
autoencoder_denoising(network, loss = "mean_squared_error", noise_type = "zeros", ...)
network  Layer construct of class 

loss  Loss function to be optimized 
noise_type  Type of data corruption which will be used to train the autoencoder, as a character string. Available types:

...  Extra parameters to customize the noisy filter:

A construct of class "ruta_autoencoder"
Extracting and composing robust features with denoising autoencoders
Other autoencoder variants: autoencoder_contractive
,
autoencoder_robust
,
autoencoder_sparse
,
autoencoder_variational
,
autoencoder