API reference, deeppy.autoencoder

class deeppy.autoencoder.autoencoder.Autoencoder(n_out, weights, bias=0.0, bias_prime=0.0, activation='sigmoid', loss='bce')

Bases: deeppy.base.Model, deeppy.base.PickleMixin

decode(y)

decode_bprop(x_grad)

embed(input)

Returns the embedding of the input.

encode(x)

encode_bprop(y_grad)

feedforward_layers()

output_shape(input_shape)

reconstruct(input)

Returns the reconstructed input.

class deeppy.autoencoder.autoencoder.DenoisingAutoencoder(n_out, weights, bias=0.0, bias_prime=0.0, corruption=0.25, activation='sigmoid', loss='bce')

Bases: deeppy.autoencoder.autoencoder.Autoencoder

corrupt(x)

class deeppy.autoencoder.stacked_autoencoder.StackedAutoencoder(layers, loss='bce')

Bases: deeppy.autoencoder.autoencoder.Autoencoder

ae_models()

decode(y)

decode_bprop(x_grad)

encode(x)

encode_bprop(y_grad)

feedforward_layers()

class deeppy.autoencoder.stacked_autoencoder.StackedAutoencoderLayer(ae, prev_layers)

Bases: deeppy.autoencoder.autoencoder.Autoencoder