encoders¶

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

Classes

Encoder Primitive Model for all fully connected encoder based architecture.

class ashpy.models.fc.encoders.Encoder(hidden_units, output_shape)[source]¶

Primitive Model for all fully connected encoder based architecture.

Examples

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

(1, 10)

__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`