Abstract base class for neural net architectures.
Simple DL4J-style sequential neural net architecture with one input node and one output node for each node in computational graph.
Class for keras-style simple sequential neural net architectures with one input node and one output node for each node in computational graph.
Class for keras-style simple sequential neural net architectures with one input node and one output node for each node in computational graph.
Wraps DL4J MultiLayerNetwork. Enforces keras model construction pattern: preprocessing (reshaping) layers should be explicitly provided by the user, while last layer is treated implicitly as an output layer.
Simple DL4J-style sequential neural net architecture with one input node and one output node for each node in computational graph.
Wraps DL4J MultiLayerNetwork. Enforces DL4J model construction pattern: adds pre-processing layers automatically but requires user to specify output layer explicitly.