Net#

Constructor#

Net()

Artificial Neural Network initialization.

Attributes#

Net.layers

List of Layer objects defining the graph of the network.

Net.history

A dictionary saving the training and validation losses.

Functions#

Net.add(layer, options)

Add layers to the neural network.

Net.compile([optimizer, options, random_state])

Compile the network and set optimizer.

Net.copy()

Make a deepcopy of the Net.

Net.set_trainable(trainable)

Method which enables to train or freeze the weights and biases of the network's layers.