Autoencoder layers (with tied encode and decode weights) for Keras
DenseLayerAutoencoder is a derived class of the Keras built-in Dense class.
DenseLayerAutoencoder, you call its constructor in exactly the same way as you would for Dense, but instead of passing in a
units argument, you pass in a
layer_sizes argument which is just a python list of the number of units that you want in each of your encoder layers (it assumes that your autoencoder will have a symmetric architecture, so you only specify the encoder sizes). An example:
inputs = Input(shape=(1000,)) x = DenseLayerAutoencoder([100, 50, 20], activation='tanh')(inputs) model = Model(inputs=inputs, outputs=x) print(model.summary())
DenseLayerAutoencoder also provides a
decode function (which are both called by the