Example usage for org.deeplearning4j.nn.conf.layers BaseOutputLayer subclass-usage

Introduction

In this page you can find the example usage for org.deeplearning4j.nn.conf.layers BaseOutputLayer subclass-usage.

Usage

From source file org.ensor.fftmusings.mdn.MixtureDensityRNNOutputLayer.java

/**Recurrent Neural Network Output Layer.<br>
 * Handles calculation of gradients etc for various objective functions.<br>
 * Functionally the same as OutputLayer, but handles output and label reshaping
 * automatically.<br>
 * Input and output activations are same as other RNN layers: 3 dimensions with shape
 * [miniBatchSize,nIn,timeSeriesLength] and [miniBatchSize,nOut,timeSeriesLength] respectively.