Package org.deeplearning4j.nn.api

Interface Summary

Interface	Description
Classifier	A classifier (this is for supervised learning)
Layer	Interface for a layer of a neural network.
Model	A Model is meant for predicting something from data.
ModelAdapter<T>	This interface describes abstraction that uses provided model to convert INDArrays to some specific output
NeuralNetwork
ParamInitializer	Param initializer for a layer
Trainable	Trainable: an interface common to Layers and GraphVertices that have trainable parameters
TrainingConfig	Simple interface for the training configuration (updater, L1/L2 values, etc) for trainable layers/vertices.
Updater	Update the model

Enum Summary

Enum	Description
FwdPassType	Type of forward pass to do.
Layer.TrainingMode
Layer.Type
MaskState	MaskState: specifies whether a mask should be applied or not.
OptimizationAlgorithm	Optimization algorithm to use