Uses of Package
org.deeplearning4j.nn.multilayer

Packages that use org.deeplearning4j.nn.multilayer

Package	Description
org.deeplearning4j.earlystopping.saver
org.deeplearning4j.earlystopping.scorecalc.base
org.deeplearning4j.earlystopping.trainer
org.deeplearning4j.gradientcheck
org.deeplearning4j.nn.multilayer
org.deeplearning4j.nn.transferlearning
org.deeplearning4j.nn.updater
org.deeplearning4j.optimize.listeners
org.deeplearning4j.util

Classes in org.deeplearning4j.nn.multilayer used by org.deeplearning4j.earlystopping.saver

Class and Description
MultiLayerNetwork MultiLayerNetwork is a neural network with multiple layers in a stack, and usually an output layer. For neural networks with a more complex connection architecture, use ComputationGraph which allows for an arbitrary directed acyclic graph connection structure between layers.

Classes in org.deeplearning4j.nn.multilayer used by org.deeplearning4j.earlystopping.scorecalc.base

Class and Description
MultiLayerNetwork MultiLayerNetwork is a neural network with multiple layers in a stack, and usually an output layer. For neural networks with a more complex connection architecture, use ComputationGraph which allows for an arbitrary directed acyclic graph connection structure between layers.

Classes in org.deeplearning4j.nn.multilayer used by org.deeplearning4j.earlystopping.trainer

Class and Description
MultiLayerNetwork MultiLayerNetwork is a neural network with multiple layers in a stack, and usually an output layer. For neural networks with a more complex connection architecture, use ComputationGraph which allows for an arbitrary directed acyclic graph connection structure between layers.

Classes in org.deeplearning4j.nn.multilayer used by org.deeplearning4j.gradientcheck

Class and Description
MultiLayerNetwork MultiLayerNetwork is a neural network with multiple layers in a stack, and usually an output layer. For neural networks with a more complex connection architecture, use ComputationGraph which allows for an arbitrary directed acyclic graph connection structure between layers.

Classes in org.deeplearning4j.nn.multilayer used by org.deeplearning4j.nn.multilayer

Class and Description
MultiLayerNetwork MultiLayerNetwork is a neural network with multiple layers in a stack, and usually an output layer. For neural networks with a more complex connection architecture, use ComputationGraph which allows for an arbitrary directed acyclic graph connection structure between layers.

Classes in org.deeplearning4j.nn.multilayer used by org.deeplearning4j.nn.transferlearning

Class and Description
MultiLayerNetwork MultiLayerNetwork is a neural network with multiple layers in a stack, and usually an output layer. For neural networks with a more complex connection architecture, use ComputationGraph which allows for an arbitrary directed acyclic graph connection structure between layers.

Classes in org.deeplearning4j.nn.multilayer used by org.deeplearning4j.nn.updater

Class and Description
MultiLayerNetwork MultiLayerNetwork is a neural network with multiple layers in a stack, and usually an output layer. For neural networks with a more complex connection architecture, use ComputationGraph which allows for an arbitrary directed acyclic graph connection structure between layers.

Classes in org.deeplearning4j.nn.multilayer used by org.deeplearning4j.optimize.listeners

Class and Description
MultiLayerNetwork MultiLayerNetwork is a neural network with multiple layers in a stack, and usually an output layer. For neural networks with a more complex connection architecture, use ComputationGraph which allows for an arbitrary directed acyclic graph connection structure between layers.

Classes in org.deeplearning4j.nn.multilayer used by org.deeplearning4j.util

Class and Description
MultiLayerNetwork MultiLayerNetwork is a neural network with multiple layers in a stack, and usually an output layer. For neural networks with a more complex connection architecture, use ComputationGraph which allows for an arbitrary directed acyclic graph connection structure between layers.