Deep learning networks

aeon networks are the models behind the deep learning estimators, and can be used in

their own right to construct bespoke solutions.

BaseDeepNetwork()	Abstract base class for deep learning networks.
CNNNetwork([n_layers, kernel_size, ...])	Establish the network structure for a CNN.
EncoderNetwork([kernel_size, n_filters, ...])	Establish the network structure for an Encoder.
FCNNetwork([n_layers, n_filters, ...])	Establish the network structure for a FCN.
InceptionNetwork([n_filters, ...])	Inception Network.
MLPNetwork()	Establish the network structure for a MLP.
ResNetNetwork([n_residual_blocks, ...])	Establish the network structure for a ResNet.
TapNetNetwork([dropout, filter_sizes, ...])	Establish Network structure for TapNet.
AEFCNNetwork([latent_space_dim, ...])	Establish the network structure for a AE-FCN.