How to use
trainingMode
method
in
org.deeplearning4j.parallelism.ParallelWrapper$Builder

Best Java code snippets using org.deeplearning4j.parallelism.ParallelWrapper$Builder.trainingMode (Showing top 2 results out of 315)

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private void myMethod () {
 OutputStreamWriter o =OutputStream out;new OutputStreamWriter(out)
OutputStream out;String charsetName;new OutputStreamWriter(out, charsetName)
HttpURLConnection connection;new OutputStreamWriter(connection.getOutputStream())
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}

.trainingMode(ParallelWrapper.TrainingMode.SHARED_GRADIENTS)

.trainingMode(ParallelWrapper.TrainingMode.CUSTOM)

Popular methods of ParallelWrapper$Builder

<init>
Build ParallelWrapper for MultiLayerNetwork
averagingFrequency
Model averaging frequency.
build
This method returns ParallelWrapper instance
prefetchBuffer
Size of prefetch buffer that will be used for background data prefetching. Usually it's better to ke
reportScoreAfterAveraging
This method enables/disables averaged model score reporting
workers
This method allows to configure number of workers that'll be used for parallel training
averageUpdaters
This method enables/disables updaters averaging. Default value: TRUE PLEASE NOTE: This method is sui
gradientsAccumulator
This method allows you to specify GradientsAccumulator instance to be used in this ParallelWrapper i
trainerFactory
Specify a TrainerContextfor the given ParallelWrapperinstance. Defaults to DefaultTrainerContextothe
workspaceMode

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How to use trainingModemethodin org.deeplearning4j.parallelism.ParallelWrapper$Builder

Best Java code snippets using org.deeplearning4j.parallelism.ParallelWrapper$Builder.trainingMode (Showing top 2 results out of 315)

How to use
trainingMode
method
in
org.deeplearning4j.parallelism.ParallelWrapper$Builder