Creates a representation of a sparse autoencoder.

autoencoder_sparse(network, loss = "mean_squared_error",
high_probability = 0.1, weight = 0.2)

## Arguments

network Layer construct of class "ruta_network" Character string specifying a loss function Expected probability of the high value of the encoding layer. Set this to a value near zero in order to minimize activations in that layer. The weight of the sparsity regularization

## Value

A construct of class "ruta_autoencoder"

## References

sparsity, make_sparse, is_sparse
Other autoencoder variants: autoencoder_contractive, autoencoder_denoising, autoencoder_robust, autoencoder_variational, autoencoder