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

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

origin: org.deeplearning4j/deeplearning4j-parallel-wrapper

.averagingFrequency(averagingFrequency).averageUpdaters(averageUpdaters)
origin: org.deeplearning4j/deeplearning4j-parallel-wrapper_2.11

.averagingFrequency(averagingFrequency).averageUpdaters(averageUpdaters)
org.deeplearning4j.parallelismParallelWrapper$BuilderaverageUpdaters

Javadoc

This method enables/disables updaters averaging. Default value: TRUE PLEASE NOTE: This method is suitable for debugging purposes mostly. So don't change default value, unless you're sure why you need it.

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
  • 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
  • trainingMode
  • workspaceMode

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