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)

.trainingMode(ParallelWrapper.TrainingMode.SHARED_GRADIENTS)

.trainingMode(ParallelWrapper.TrainingMode.CUSTOM)

<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

Start an intent from android
findViewById (Activity)
requestLocationUpdates (LocationManager)
getSystemService (Context)
FileInputStream (java.io)
An input stream that reads bytes from a file. File file = ...finally if (in != null) in.clos
URLEncoder (java.net)
This class is used to encode a string using the format required by application/x-www-form-urlencoded
HashMap (java.util)
HashMap is an implementation of Map. All optional operations are supported.All elements are permitte
Notification (javax.management)
Servlet (javax.servlet)
Defines methods that all servlets must implement. A servlet is a small Java program that runs within
Join (org.hibernate.mapping)
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