Add sparsity regularization to an autoencoder

make_sparse(learner, high_probability = 0.1, weight = 0.2)

## Arguments

learner A "ruta_autoencoder" object 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

The same autoencoder with the sparsity regularization applied

sparsity, autoencoder_sparse, is_sparse