Uses of Package
org.deeplearning4j.nn.api

Packages that use org.deeplearning4j.nn.api

Package	Description
org.deeplearning4j.earlystopping
org.deeplearning4j.earlystopping.listener
org.deeplearning4j.earlystopping.saver
org.deeplearning4j.earlystopping.scorecalc
org.deeplearning4j.earlystopping.scorecalc.base
org.deeplearning4j.earlystopping.trainer
org.deeplearning4j.gradientcheck
org.deeplearning4j.nn.adapters
org.deeplearning4j.nn.api
org.deeplearning4j.nn.api.layers
org.deeplearning4j.nn.conf
org.deeplearning4j.nn.conf.constraint
org.deeplearning4j.nn.conf.graph
org.deeplearning4j.nn.conf.layers
org.deeplearning4j.nn.conf.layers.convolutional
org.deeplearning4j.nn.conf.layers.misc
org.deeplearning4j.nn.conf.layers.objdetect
org.deeplearning4j.nn.conf.layers.recurrent
org.deeplearning4j.nn.conf.layers.samediff
org.deeplearning4j.nn.conf.layers.util
org.deeplearning4j.nn.conf.layers.variational
org.deeplearning4j.nn.conf.layers.wrapper
org.deeplearning4j.nn.conf.misc
org.deeplearning4j.nn.conf.ocnn
org.deeplearning4j.nn.conf.preprocessor
org.deeplearning4j.nn.conf.weightnoise
org.deeplearning4j.nn.graph
org.deeplearning4j.nn.graph.vertex
org.deeplearning4j.nn.graph.vertex.impl
org.deeplearning4j.nn.graph.vertex.impl.rnn
org.deeplearning4j.nn.layers
org.deeplearning4j.nn.layers.convolution
org.deeplearning4j.nn.layers.convolution.subsampling
org.deeplearning4j.nn.layers.convolution.upsampling
org.deeplearning4j.nn.layers.feedforward
org.deeplearning4j.nn.layers.feedforward.autoencoder
org.deeplearning4j.nn.layers.feedforward.dense
org.deeplearning4j.nn.layers.feedforward.elementwise
org.deeplearning4j.nn.layers.feedforward.embedding
org.deeplearning4j.nn.layers.normalization
org.deeplearning4j.nn.layers.objdetect
org.deeplearning4j.nn.layers.ocnn
org.deeplearning4j.nn.layers.pooling
org.deeplearning4j.nn.layers.recurrent
org.deeplearning4j.nn.layers.samediff
org.deeplearning4j.nn.layers.training
org.deeplearning4j.nn.layers.util
org.deeplearning4j.nn.layers.variational
org.deeplearning4j.nn.layers.wrapper
org.deeplearning4j.nn.multilayer
org.deeplearning4j.nn.params
org.deeplearning4j.nn.transferlearning
org.deeplearning4j.nn.updater
org.deeplearning4j.nn.updater.graph
org.deeplearning4j.optimize
org.deeplearning4j.optimize.api
org.deeplearning4j.optimize.listeners
org.deeplearning4j.optimize.listeners.callbacks
org.deeplearning4j.optimize.solvers
org.deeplearning4j.optimize.solvers.accumulation
org.deeplearning4j.util

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.earlystopping

Class and Description
Model A Model is meant for predicting something from data.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.earlystopping.listener

Class and Description
Model A Model is meant for predicting something from data.

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

Class and Description
Model A Model is meant for predicting something from data.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.earlystopping.scorecalc

Class and Description
Model A Model is meant for predicting something from data.

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

Class and Description
Model A Model is meant for predicting something from data.

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

Class and Description
Model A Model is meant for predicting something from data.

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

Class and Description
Layer Interface for a layer of a neural network.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.adapters

Class and Description
Model A Model is meant for predicting something from data.
ModelAdapter This interface describes abstraction that uses provided model to convert INDArrays to some specific output

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

Class and Description
FwdPassType Type of forward pass to do.
Layer.TrainingMode
Layer.Type
MaskState MaskState: specifies whether a mask should be applied or not.
Model A Model is meant for predicting something from data.
OptimizationAlgorithm Optimization algorithm to use
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.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.api.layers

Class and 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.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf

Class and Description
MaskState MaskState: specifies whether a mask should be applied or not.
OptimizationAlgorithm Optimization algorithm to use

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf.constraint

Class and Description
Layer Interface for a layer of a neural network.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf.graph

Class and Description
MaskState MaskState: specifies whether a mask should be applied or not.
TrainingConfig Simple interface for the training configuration (updater, L1/L2 values, etc) for trainable layers/vertices.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf.layers

Class and Description
Layer Interface for a layer of a neural network.
MaskState MaskState: specifies whether a mask should be applied or not.
ParamInitializer Param initializer for a layer
TrainingConfig Simple interface for the training configuration (updater, L1/L2 values, etc) for trainable layers/vertices.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf.layers.convolutional

Class and Description
Layer Interface for a layer of a neural network.
TrainingConfig Simple interface for the training configuration (updater, L1/L2 values, etc) for trainable layers/vertices.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf.layers.misc

Class and Description
ParamInitializer Param initializer for a layer
TrainingConfig Simple interface for the training configuration (updater, L1/L2 values, etc) for trainable layers/vertices.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf.layers.objdetect

Class and Description
ParamInitializer Param initializer for a layer
TrainingConfig Simple interface for the training configuration (updater, L1/L2 values, etc) for trainable layers/vertices.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf.layers.recurrent

Class and Description
Layer Interface for a layer of a neural network.
ParamInitializer Param initializer for a layer
TrainingConfig Simple interface for the training configuration (updater, L1/L2 values, etc) for trainable layers/vertices.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf.layers.samediff

Class and Description
Layer Interface for a layer of a neural network.
MaskState MaskState: specifies whether a mask should be applied or not.
ParamInitializer Param initializer for a layer
TrainingConfig Simple interface for the training configuration (updater, L1/L2 values, etc) for trainable layers/vertices.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf.layers.util

Class and Description
ParamInitializer Param initializer for a layer
TrainingConfig Simple interface for the training configuration (updater, L1/L2 values, etc) for trainable layers/vertices.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf.layers.variational

Class and Description
ParamInitializer Param initializer for a layer
TrainingConfig Simple interface for the training configuration (updater, L1/L2 values, etc) for trainable layers/vertices.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf.layers.wrapper

Class and Description
ParamInitializer Param initializer for a layer
TrainingConfig Simple interface for the training configuration (updater, L1/L2 values, etc) for trainable layers/vertices.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf.misc

Class and Description
TrainingConfig Simple interface for the training configuration (updater, L1/L2 values, etc) for trainable layers/vertices.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf.ocnn

Class and Description
ParamInitializer Param initializer for a layer
TrainingConfig Simple interface for the training configuration (updater, L1/L2 values, etc) for trainable layers/vertices.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf.preprocessor

Class and Description
MaskState MaskState: specifies whether a mask should be applied or not.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.conf.weightnoise

Class and Description
Layer Interface for a layer of a neural network.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.graph

Class and Description
FwdPassType Type of forward pass to do.
Layer Interface for a layer of a neural network.
Model A Model is meant for predicting something from data.
NeuralNetwork

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.graph.vertex

Class and Description
Layer Interface for a layer of a neural network.
MaskState MaskState: specifies whether a mask should be applied or not.
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.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.graph.vertex.impl

Class and Description
Layer Interface for a layer of a neural network.
MaskState MaskState: specifies whether a mask should be applied or not.
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.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.graph.vertex.impl.rnn

Class and Description
Layer Interface for a layer of a neural network.
MaskState MaskState: specifies whether a mask should be applied or not.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers

Class and Description
Classifier A classifier (this is for supervised learning)
Layer Interface for a layer of a neural network.
Layer.TrainingMode
Layer.Type
MaskState MaskState: specifies whether a mask should be applied or not.
Model A Model is meant for predicting something from data.
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.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.convolution

Class and Description
Classifier A classifier (this is for supervised learning)
Layer Interface for a layer of a neural network.
Layer.Type
MaskState MaskState: specifies whether a mask should be applied or not.
Model A Model is meant for predicting something from data.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.convolution.subsampling

Class and Description
Layer Interface for a layer of a neural network.
Layer.Type
MaskState MaskState: specifies whether a mask should be applied or not.
Model A Model is meant for predicting something from data.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.convolution.upsampling

Class and Description
Layer Interface for a layer of a neural network.
Layer.Type
Model A Model is meant for predicting something from data.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.feedforward

Class and Description
Layer Interface for a layer of a neural network.
Layer.Type
Model A Model is meant for predicting something from data.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.feedforward.autoencoder

Class and Description
Layer Interface for a layer of a neural network.
Model A Model is meant for predicting something from data.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.feedforward.dense

Class and Description
Layer Interface for a layer of a neural network.
Model A Model is meant for predicting something from data.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.feedforward.elementwise

Class and Description
Layer Interface for a layer of a neural network.
Model A Model is meant for predicting something from data.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.feedforward.embedding

Class and Description
Layer Interface for a layer of a neural network.
Layer.Type
Model A Model is meant for predicting something from data.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.normalization

Class and Description
Layer Interface for a layer of a neural network.
Layer.TrainingMode
Layer.Type
Model A Model is meant for predicting something from data.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.objdetect

Class and 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.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.ocnn

Class and Description
Classifier A classifier (this is for supervised learning)
Layer Interface for a layer of a neural network.
Layer.Type
Model A Model is meant for predicting something from data.
ParamInitializer Param initializer for a layer
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.pooling

Class and Description
Layer Interface for a layer of a neural network.
Layer.Type
MaskState MaskState: specifies whether a mask should be applied or not.
Model A Model is meant for predicting something from data.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.recurrent

Class and Description
Classifier A classifier (this is for supervised learning)
Layer Interface for a layer of a neural network.
Layer.Type
MaskState MaskState: specifies whether a mask should be applied or not.
Model A Model is meant for predicting something from data.
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.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.samediff

Class and Description
Classifier A classifier (this is for supervised learning)
Layer Interface for a layer of a neural network.
MaskState MaskState: specifies whether a mask should be applied or not.
Model A Model is meant for predicting something from data.
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.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.training

Class and 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.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.util

Class and Description
Layer Interface for a layer of a neural network.
Model A Model is meant for predicting something from data.
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.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.variational

Class and Description
Layer Interface for a layer of a neural network.
Layer.Type
MaskState MaskState: specifies whether a mask should be applied or not.
Model A Model is meant for predicting something from data.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.layers.wrapper

Class and Description
Layer Interface for a layer of a neural network.
Layer.Type
MaskState MaskState: specifies whether a mask should be applied or not.
Model A Model is meant for predicting something from data.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters

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

Class and Description
Classifier A classifier (this is for supervised learning)
FwdPassType Type of forward pass to do.
Layer Interface for a layer of a neural network.
Layer.TrainingMode
Layer.Type
MaskState MaskState: specifies whether a mask should be applied or not.
Model A Model is meant for predicting something from data.
NeuralNetwork
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

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.params

Class and Description
ParamInitializer Param initializer for a layer

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

Class and Description
OptimizationAlgorithm Optimization algorithm to use

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

Class and Description
Layer Interface for a layer of a neural network.
Model A Model is meant for predicting something from data.
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters
Updater Update the model

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.nn.updater.graph

Class and Description
Trainable Trainable: an interface common to Layers and GraphVertices that have trainable parameters
Updater Update the model

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.optimize

Class and Description
Model A Model is meant for predicting something from data.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.optimize.api

Class and Description
Model A Model is meant for predicting something from data.
Updater Update the model

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

Class and Description
Model A Model is meant for predicting something from data.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.optimize.listeners.callbacks

Class and Description
Model A Model is meant for predicting something from data.

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.optimize.solvers

Class and Description
Model A Model is meant for predicting something from data.
Updater Update the model

Classes in org.deeplearning4j.nn.api used by org.deeplearning4j.optimize.solvers.accumulation

Class and Description
Model A Model is meant for predicting something from data.

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

Class and Description
Model A Model is meant for predicting something from data.