decoders¶

Collection of Decoders (i.e., GANs’ Discriminators) models.

Classes

Decoder Primitive Model for all fully connected decoder based architecture.

class ashpy.models.fc.decoders.Decoder(hidden_units, output_shape)[source]¶

Primitive Model for all fully connected decoder based architecture.

Examples

decoder = Decoder(
    hidden_units=[64,128,256],
    output_shape=55)
print(decoder(tf.zeros((1,10))).shape)

(1, 55)

__init__(hidden_units, output_shape)[source]¶

Instantiate the Decoder.

Parameters:	hidden_units (`tuple` of `int`) – Number of units per hidden layer. output_shape (int) – Amount of units of the last `tf.keras.layers.Dense`.
Returns:	`None`