Deprecated API

Contents

• Deprecated Interfaces
• Deprecated Classes
• Deprecated Fields
• Deprecated Methods
• Deprecated Constructors
• Deprecated Enum Constants

Deprecated Interfaces

Interface and Description
org.deeplearning4j.datasets.iterator.DataSetFetcher
org.deeplearning4j.datasets.iterator.DataSetIterator Use DataSetIterator
org.deeplearning4j.datasets.iterator.DataSetPreProcessor Use @deprecated Use DataSetPreProcessor
org.deeplearning4j.nn.api.SequenceClassifier

Deprecated Classes

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))
org.deeplearning4j.util.NetSaverLoaderUtils
org.deeplearning4j.nn.conf.preprocessor.ReshapePreProcessor

Deprecated Fields

Field and Description
org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder.cnnInputSize
org.deeplearning4j.nn.layers.feedforward.rbm.RBM.hiddenSigma
org.deeplearning4j.nn.layers.feedforward.rbm.RBM.sigma

Deprecated Methods

Method and Description
org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder.cnnInputSize(int[]) use MultiLayerConfiguration.Builder.setInputType(InputType) with InputType.convolutional(height,width,depth), for CNN data with shape [minibatchSize,depth,height,width]. 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.MultiLayerConfiguration.Builder.cnnInputSize(int, int, int) use MultiLayerConfiguration.Builder.setInputType(InputType) with InputType.convolutional(height,width,depth), for CNN data with shape [minibatchSize,depth,height,width]. 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.layers.feedforward.rbm.RBM.contrastiveDivergence()
org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder.convolutionType(Convolution.Type) Use ConvolutionLayer.Builder.convolutionMode
org.deeplearning4j.nn.multilayer.MultiLayerNetwork.finetune()
org.deeplearning4j.nn.graph.vertex.GraphVertex.getErrors() as of 0.6.1 - use GraphVertex.getEpsilon()
org.deeplearning4j.nn.conf.layers.BaseOutputLayer.getLossFunction() As of 0.6.0. Use #getLossFn() instead
org.deeplearning4j.nn.layers.feedforward.rbm.RBM.iterate(INDArray)
org.deeplearning4j.nn.multilayer.MultiLayerNetwork.pack() use
org.deeplearning4j.nn.multilayer.MultiLayerNetwork.pack(List<Pair<INDArray, INDArray>>) use MultiLayerNetwork.params()
org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder.redistributeParams(boolean) As of 0.6.0
org.deeplearning4j.nn.graph.vertex.GraphVertex.setError(int, INDArray) as of 0.6.1 - use GraphVertex.setEpsilon(INDArray)
org.deeplearning4j.nn.graph.vertex.GraphVertex.setErrors(INDArray...) as of 0.6.1 - use GraphVertex.setEpsilon(INDArray)
org.deeplearning4j.nn.layers.feedforward.rbm.RBM.transpose()
org.deeplearning4j.nn.multilayer.MultiLayerNetwork.unPack(INDArray) use MultiLayerNetwork.setParameters(INDArray)

Deprecated Constructors

Constructor and Description
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.graph.PreprocessorVertex(InputPreProcessor, InputType) This constructor (and the "InputType override" functionality previously used is no longer necessary.

Deprecated Enum Constants

Enum Constant and Description
org.deeplearning4j.nn.weights.WeightInit.NORMALIZED
org.deeplearning4j.nn.weights.WeightInit.SIZE
org.deeplearning4j.nn.weights.WeightInit.VI