Java Deep Learning Cookbook

How to do it...

1. Configure the threshold algorithm in SharedTrainingMaster:

TrainingMaster tm = new SharedTrainingMaster.Builder(voidConfiguration, minibatchSize)   .thresholdAlgorithm(new AdaptiveThresholdAlgorithm(gradientThreshold))  .build();

2. Configure the residual vectors by calling residualPostProcessor():

TrainingMaster tm = new SharedTrainingMaster.Builder(voidConfiguration, minibatch) .residualPostProcessor(new ResidualClippingPostProcessor(clipValue, frequency)) .build();