Interface and Description |
---|
org.deeplearning4j.datasets.iterator.DataSetFetcher
Retained for legacy purposes, will be removed in a future release
|
Class and Description |
---|
org.deeplearning4j.nn.conf.layers.setup.ConvolutionLayerSetup
Use
MultiLayerConfiguration.Builder.setInputType(InputType) to set nIns
and add preprocessors as required. This can be done using builder.setInputType(InputType.convolutional(height, width, channels)) |
Constructor and Description |
---|
org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution(String) |
org.deeplearning4j.nn.conf.layers.setup.ConvolutionLayerSetup(MultiLayerConfiguration.Builder, int, int, int)
Use
MultiLayerConfiguration.Builder.setInputType(InputType) to set nIns
and add preprocessors as required. This can be done using builder.setInputType(InputType.convolutional(height, width, channels))
For image data that has been flattened into a row vector per example (shape [minibatchSize,depth*height*width])
instead use InputType.convolutionalFlat(height,width,depth) . |
org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution(String) |
org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution(String) |
Enum Constant and Description |
---|
org.deeplearning4j.nn.api.OptimizationAlgorithm.HESSIAN_FREE |
Copyright © 2017. All Rights Reserved.