A B C D E F G I L M N O P Q R S T U V W Z

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accumulator - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

accumulator - Variable in class org.deeplearning4j.parallelism.trainer.SymmetricTrainer

addObserver(Observer) - Method in interface org.deeplearning4j.parallelism.inference.InferenceObservable

averageUpdaters - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

averageUpdaters - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

averageUpdaters(boolean) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

This method enables/disables updaters averaging.

averagingFrequency - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

averagingFrequency - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

averagingFrequency(int) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

Model averaging frequency.

averagingFrequency - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

averagingRequired() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

averagingRequired() - Method in class org.deeplearning4j.parallelism.trainer.SymmetricTrainer

averagingRequired() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer

This method returns TRUE if this Trainer implementation assumes periodic aver

B

BasicInferenceObservable - Class in org.deeplearning4j.parallelism.inference.observers

This class holds reference input, and implements basic use case: SEQUENTIAL inference

BasicInferenceObservable(INDArray...) - Constructor for class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable

BasicInferenceObserver - Class in org.deeplearning4j.parallelism.inference.observers

Simple Observer implementation for sequential inference

BasicInferenceObserver() - Constructor for class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObserver

BatchedInferenceObservable - Class in org.deeplearning4j.parallelism.inference.observers

This class holds reference input, and implements second use case: BATCHED inference

BatchedInferenceObservable() - Constructor for class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable

batchLimit(int) - Method in class org.deeplearning4j.parallelism.ParallelInference.Builder

This method defines, how many input samples can be batched within given time frame.

broadcastGradients(SharedGradient) - Method in class org.deeplearning4j.parallelism.ParallelWrapper

This method will propagate gradients across all workers

build() - Method in class org.deeplearning4j.parallelism.ParallelInference.Builder

This method builds new ParallelInference instance

build() - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

This method returns ParallelWrapper instance

Builder(Model) - Constructor for class org.deeplearning4j.parallelism.ParallelInference.Builder

Builder(T) - Constructor for class org.deeplearning4j.parallelism.ParallelWrapper.Builder

Build ParallelWrapper for MultiLayerNetwork

C

cloneListener(IterationListener) - Static method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

close() - Method in class org.deeplearning4j.parallelism.ParallelWrapper

CommunicativeTrainer - Interface in org.deeplearning4j.parallelism.trainer

configureListeners(String, Collection<IterationListener>, Collection<IterationListener>) - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

create(int, Model, int, boolean, ParallelWrapper, WorkspaceMode, int) - Method in class org.deeplearning4j.parallelism.factory.DefaultTrainerContext

Create a Trainer based on the given parameters

create(int, Model, int, boolean, ParallelWrapper, WorkspaceMode, int) - Method in class org.deeplearning4j.parallelism.factory.SymmetricTrainerContext

Create a Trainer based on the given parameters

create(int, Model, int, boolean, ParallelWrapper, WorkspaceMode, int) - Method in interface org.deeplearning4j.parallelism.factory.TrainerContext

Create a Trainer based on the given parameters

create() - Method in interface org.deeplearning4j.parallelism.main.DataSetIteratorProviderFactory

Create an DataSetIterator

create() - Method in interface org.deeplearning4j.parallelism.main.MultiDataSetProviderFactory

Create an MultiDataSetIterator

D

DataSetIteratorProviderFactory - Interface in org.deeplearning4j.parallelism.main

Create a dataset iterator.

debug - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

DEFAULT_BATCH_LIMIT - Static variable in class org.deeplearning4j.parallelism.ParallelInference

DEFAULT_INFERENCE_MODE - Static variable in class org.deeplearning4j.parallelism.ParallelInference

DEFAULT_NUM_WORKERS - Static variable in class org.deeplearning4j.parallelism.ParallelInference

DEFAULT_QUEUE_LIMIT - Static variable in class org.deeplearning4j.parallelism.ParallelInference

DefaultTrainer - Class in org.deeplearning4j.parallelism.trainer

Trains datasets using a standard in memory parameter averaging technique.

DefaultTrainer() - Constructor for class org.deeplearning4j.parallelism.trainer.DefaultTrainer

DefaultTrainer.DefaultTrainerBuilder - Class in org.deeplearning4j.parallelism.trainer

DefaultTrainerBuilder() - Constructor for class org.deeplearning4j.parallelism.trainer.DefaultTrainer.DefaultTrainerBuilder

DefaultTrainerContext - Class in org.deeplearning4j.parallelism.factory

Creates DefaultTrainer instances for use with ParallelWrapper

DefaultTrainerContext() - Constructor for class org.deeplearning4j.parallelism.factory.DefaultTrainerContext

E

EarlyStoppingParallelTrainer<T extends org.deeplearning4j.nn.api.Model> - Class in org.deeplearning4j.parallelism

Conduct parallel early stopping training with ParallelWrapper under the hood.
Can be used to train a MultiLayerNetwork or a ComputationGraph via early stopping.

EarlyStoppingParallelTrainer(EarlyStoppingConfiguration<T>, T, DataSetIterator, MultiDataSetIterator, int, int, int) - Constructor for class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer

EarlyStoppingParallelTrainer(EarlyStoppingConfiguration<T>, T, DataSetIterator, MultiDataSetIterator, EarlyStoppingListener<T>, int, int, int) - Constructor for class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer

EarlyStoppingParallelTrainer(EarlyStoppingConfiguration<T>, T, DataSetIterator, MultiDataSetIterator, EarlyStoppingListener<T>, int, int, int, boolean, boolean) - Constructor for class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer

enqueueGradient(SharedGradient) - Method in interface org.deeplearning4j.parallelism.trainer.CommunicativeTrainer

enqueueGradient(SharedGradient) - Method in class org.deeplearning4j.parallelism.trainer.SymmetricTrainer

Deprecated.

esConfig - Variable in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer

executorService - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

F

feedDataSet(DataSet, long) - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

feedDataSet(DataSet, long) - Method in interface org.deeplearning4j.parallelism.trainer.Trainer

Train on a DataSet

feedMultiDataSet(MultiDataSet, long) - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

feedMultiDataSet(MultiDataSet, long) - Method in interface org.deeplearning4j.parallelism.trainer.Trainer

Train on a MultiDataSet

finalizeRound(Model, Model...) - Method in class org.deeplearning4j.parallelism.factory.DefaultTrainerContext

finalizeRound(Model, Model...) - Method in class org.deeplearning4j.parallelism.factory.SymmetricTrainerContext

finalizeRound(Model, Model...) - Method in interface org.deeplearning4j.parallelism.factory.TrainerContext

This method is called at averagingFrequency

finalizeTraining(Model, Model...) - Method in class org.deeplearning4j.parallelism.factory.DefaultTrainerContext

finalizeTraining(Model, Model...) - Method in class org.deeplearning4j.parallelism.factory.SymmetricTrainerContext

finalizeTraining(Model, Model...) - Method in interface org.deeplearning4j.parallelism.factory.TrainerContext

This method is called

fit() - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer

fit(MultiDataSetIterator) - Method in class org.deeplearning4j.parallelism.ParallelWrapper

fit(DataSetIterator) - Method in class org.deeplearning4j.parallelism.ParallelWrapper

This method takes DataSetIterator, and starts training over it by scheduling DataSets to different executors

fit(DataSet) - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

fit(MultiDataSet) - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

G

getCounter() - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable

getInput() - Method in interface org.deeplearning4j.parallelism.inference.InferenceObservable

getInput() - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable

getModel() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

getModel() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer

THe current model for the trainer

getOutput() - Method in interface org.deeplearning4j.parallelism.inference.InferenceObservable

getOutput() - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable

getOutputs() - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable

PLEASE NOTE: This method is for tests only

getTermination() - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer

getWorkerCounter(int) - Method in class org.deeplearning4j.parallelism.ParallelInference

gradientsAccumulator(GradientsAccumulator) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

This method allows you to specify GradientsAccumulator instance to be used in this ParallelWrapper instance

gradientsAccumulator - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

I

incrementIteration() - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer

InferenceMode - Enum in org.deeplearning4j.parallelism.inference

inferenceMode(InferenceMode) - Method in class org.deeplearning4j.parallelism.ParallelInference.Builder

This method allows you to define mode that'll be used during inference.

InferenceObservable - Interface in org.deeplearning4j.parallelism.inference

init(Model, Object...) - Method in class org.deeplearning4j.parallelism.factory.DefaultTrainerContext

Initialize the context

init(Model, Object...) - Method in class org.deeplearning4j.parallelism.factory.SymmetricTrainerContext

Initialize the context

init(Model, Object...) - Method in interface org.deeplearning4j.parallelism.factory.TrainerContext

Initialize the context

init() - Method in class org.deeplearning4j.parallelism.ParallelInference

init() - Method in class org.deeplearning4j.parallelism.ParallelWrapper

isLocked() - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable

isMQ - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

isMQ - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

isRunning() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

isRunning() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer

isStopped - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

iterationsCounter - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

L

lastEtlTime - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

legacyAveraging - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

legacyAveraging - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

listeners - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

M

main(String[]) - Static method in class org.deeplearning4j.parallelism.main.ParallelWrapperMain

model - Variable in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer

model - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

model - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

MultiDataSetProviderFactory - Interface in org.deeplearning4j.parallelism.main

Creates an MultiDataSetIterator

N

nullDataSet - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

nullMode - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

O

ObservablesProvider(long, int, BlockingQueue<InferenceObservable>) - Constructor for class org.deeplearning4j.parallelism.ParallelInference.ObservablesProvider

onRootModel - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

org.deeplearning4j.parallelism - package org.deeplearning4j.parallelism

org.deeplearning4j.parallelism.factory - package org.deeplearning4j.parallelism.factory

org.deeplearning4j.parallelism.inference - package org.deeplearning4j.parallelism.inference

org.deeplearning4j.parallelism.inference.observers - package org.deeplearning4j.parallelism.inference.observers

org.deeplearning4j.parallelism.main - package org.deeplearning4j.parallelism.main

org.deeplearning4j.parallelism.trainer - package org.deeplearning4j.parallelism.trainer

originalModel - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

output(double[]) - Method in class org.deeplearning4j.parallelism.ParallelInference

output(float[]) - Method in class org.deeplearning4j.parallelism.ParallelInference

output(INDArray) - Method in class org.deeplearning4j.parallelism.ParallelInference

output(DataSet) - Method in class org.deeplearning4j.parallelism.ParallelInference

output(INDArray...) - Method in class org.deeplearning4j.parallelism.ParallelInference

P

ParallelInference - Class in org.deeplearning4j.parallelism

This class is simple wrapper for ParallelInference using batched input

ParallelInference() - Constructor for class org.deeplearning4j.parallelism.ParallelInference

ParallelInference.Builder - Class in org.deeplearning4j.parallelism

ParallelInference.ObservablesProvider - Class in org.deeplearning4j.parallelism

ParallelWrapper - Class in org.deeplearning4j.parallelism

This is simple data-parallel wrapper suitable for multi-cpu/multi-gpu environments.

ParallelWrapper(Model, int, int) - Constructor for class org.deeplearning4j.parallelism.ParallelWrapper

parallelWrapper - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

ParallelWrapper.Builder<T extends org.deeplearning4j.nn.api.Model> - Class in org.deeplearning4j.parallelism

ParallelWrapper.TrainingMode - Enum in org.deeplearning4j.parallelism

ParallelWrapperMain - Class in org.deeplearning4j.parallelism.main

Parallelwrapper main class.

ParallelWrapperMain() - Constructor for class org.deeplearning4j.parallelism.main.ParallelWrapperMain

postInit() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

This method does post-initialization configuration of Model.

postInit() - Method in class org.deeplearning4j.parallelism.trainer.SymmetricTrainer

prefetchBuffer(int) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

Size of prefetch buffer that will be used for background data prefetching.

prefetchSize - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

prefetchSize - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

Q

queue - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

queueLimit(int) - Method in class org.deeplearning4j.parallelism.ParallelInference.Builder

This method defines buffer queue size.

queueMDS - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

R

replicatedModel - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

reportScore - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

reportScore - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

reportScoreAfterAveraging(boolean) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

This method enables/disables averaged model score reporting

reset() - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer

run() - Method in class org.deeplearning4j.parallelism.main.ParallelWrapperMain

run() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

runMain(String...) - Method in class org.deeplearning4j.parallelism.main.ParallelWrapperMain

running - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

S

setCounter(int) - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable

setInput(INDArray...) - Method in interface org.deeplearning4j.parallelism.inference.InferenceObservable

setInput(INDArray...) - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable

setInput(INDArray...) - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable

setInput(Observer, INDArray...) - Method in class org.deeplearning4j.parallelism.ParallelInference.ObservablesProvider

setLatestScore(double) - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer

setListener(EarlyStoppingListener<T>) - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer

setListeners(Collection<IterationListener>) - Method in class org.deeplearning4j.parallelism.ParallelWrapper

This method allows you to specify IterationListeners for this model.

setListeners(IterationListener...) - Method in class org.deeplearning4j.parallelism.ParallelWrapper

This method allows you to specify IterationListeners for this model.

setListeners(StatsStorageRouter, IterationListener...) - Method in class org.deeplearning4j.parallelism.ParallelWrapper

Set the listeners, along with a StatsStorageRouter that the results will be shuffled to (in the case of any listeners that implement the RoutingIterationListener interface)

setListeners(StatsStorageRouter, Collection<? extends IterationListener>) - Method in class org.deeplearning4j.parallelism.ParallelWrapper

Set the listeners, along with a StatsStorageRouter that the results will be shuffled to (in the case of any listeners that implement the RoutingIterationListener interface)

setOutput(INDArray...) - Method in interface org.deeplearning4j.parallelism.inference.InferenceObservable

setOutput(INDArray...) - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable

setOutput(INDArray...) - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable

setPosition(int) - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable

setTermination(boolean) - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer

setTerminationReason(IterationTerminationCondition) - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer

setUncaughtExceptionHandler(Thread.UncaughtExceptionHandler) - Method in interface org.deeplearning4j.parallelism.trainer.Trainer

Set the Thread.UncaughtExceptionHandler for this Trainer

setupIfNeccessary() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

shouldStop - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

shouldUpdate - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

shutdown() - Method in class org.deeplearning4j.parallelism.ParallelWrapper

This method causes all threads used for parallel training to stop

shutdown() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

shutdown() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer

Shutdown this worker

start() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer

Start this trainer

stopFit - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

stopFit() - Method in class org.deeplearning4j.parallelism.ParallelWrapper

Will stop a fit operation from continuing to iterate.

storageRouter - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

SymmetricTrainer - Class in org.deeplearning4j.parallelism.trainer

This trainer implementation does parallel training via gradients broadcasts.

SymmetricTrainer(Model, int, WorkspaceMode, ParallelWrapper, boolean) - Constructor for class org.deeplearning4j.parallelism.trainer.SymmetricTrainer

SymmetricTrainerContext - Class in org.deeplearning4j.parallelism.factory

Creates DefaultTrainer instances for use with ParallelWrapper

SymmetricTrainerContext() - Constructor for class org.deeplearning4j.parallelism.factory.SymmetricTrainerContext

T

terminationReason - Variable in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer

threadId - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

thrownException - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

Trainer - Interface in org.deeplearning4j.parallelism.trainer

A Trainer is an individual worker used in ParallelWrapper for handling training in multi core situations.

TrainerContext - Interface in org.deeplearning4j.parallelism.factory

Creates Trainer instances for use with ParallelWrapper

trainerContext - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

trainerContext - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

trainerContextArgs - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

trainerContextArgs(Object...) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

Transer context args are for calling a TrainerContext init method when ParallelWrapper starts training

trainerContextArgs - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

trainerFactory(TrainerContext) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

Specify a TrainerContext for the given ParallelWrapper instance.

trainingMode - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

trainingMode(ParallelWrapper.TrainingMode) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

U

update(Observable, Object) - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObserver

updateModel(Model) - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

updateModel(Model) - Method in interface org.deeplearning4j.parallelism.trainer.Trainer

Update the current Model for the worker

useMDS - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

uuid - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

V

valueOf(String) - Static method in enum org.deeplearning4j.parallelism.inference.InferenceMode

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.deeplearning4j.parallelism.ParallelWrapper.TrainingMode

Returns the enum constant of this type with the specified name.

values() - Static method in enum org.deeplearning4j.parallelism.inference.InferenceMode

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.deeplearning4j.parallelism.ParallelWrapper.TrainingMode

Returns an array containing the constants of this enum type, in the order they are declared.

W

waitTillDone() - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObserver

FOR DEBUGGING ONLY, TO BE REMOVED BEFORE MERGE

waitTillRunning() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

waitTillRunning() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer

Block the main thread till the trainer is up and running.

wasAveraged - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

workerCounter - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

workers(int) - Method in class org.deeplearning4j.parallelism.ParallelInference.Builder

This method defines, how many model copies will be used for inference.

workers - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

workers(int) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

This method allows to configure number of workers that'll be used for parallel training

workers - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

workspaceMode - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

workspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

workspaceMode - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

workspaceMode - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

Z

zoo - Variable in class org.deeplearning4j.parallelism.ParallelWrapper

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