Add sparsity regularization to an autoencoder

Add sparsity regularization to an autoencoder

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

Arguments

learner

A "ruta_autoencoder" object

high_probability

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.

weight

The weight of the sparsity regularization

Value

The same autoencoder with the sparsity regularization applied

See also

sparsity, autoencoder_sparse, is_sparse