- able(Iterator<T>) - Static method in class org.deeplearning4j.berkeley.Iterators
-
Wraps an iterator as an iterable
- abs(double) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
- absPath - Variable in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
-
- AbstractCache<T extends SequenceElement> - Class in org.deeplearning4j.models.word2vec.wordstore.inmemory
-
This is generic VocabCache implementation designed as abstract SequenceElements vocabulary
- AbstractCache() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
- AbstractCache.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.word2vec.wordstore.inmemory
-
- AbstractCacheTest - Class in org.deeplearning4j.models.word2vec.wordstore.inmemory
-
Created by fartovii on 10.12.15.
- AbstractCacheTest() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCacheTest
-
- AbstractCoOccurrences<T extends SequenceElement> - Class in org.deeplearning4j.models.glove
-
This class implements building cooccurrence map for abstract training corpus.
- AbstractCoOccurrences.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.glove
-
- AbstractCoOccurrencesTest - Class in org.deeplearning4j.models.glove
-
- AbstractCoOccurrencesTest() - Constructor for class org.deeplearning4j.models.glove.AbstractCoOccurrencesTest
-
- AbstractDataSetIterator<T> - Class in org.deeplearning4j.datasets.iterator
-
This is simple DataSetIterator implementation, that builds DataSetIterator out of INDArray/float[]/double[] pairs.
- AbstractDataSetIterator(Iterable<Pair<T, T>>, int) - Constructor for class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
-
- AbstractDataSetIteratorTest - Class in org.deeplearning4j.datasets.iterator
-
Created by raver on 16.06.2016.
- AbstractDataSetIteratorTest() - Constructor for class org.deeplearning4j.datasets.iterator.AbstractDataSetIteratorTest
-
- AbstractElementFactory<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.serialization
-
This is universal serialization/deserialization factor for SequenceVectors serialization.
- AbstractElementFactory(Class<? extends SequenceElement>) - Constructor for class org.deeplearning4j.models.sequencevectors.serialization.AbstractElementFactory
-
This is the only constructor available for AbstractElementFactory
- AbstractElementFactoryTest - Class in org.deeplearning4j.models.sequencevectors.serialization
-
- AbstractElementFactoryTest() - Constructor for class org.deeplearning4j.models.sequencevectors.serialization.AbstractElementFactoryTest
-
- AbstractSequenceIterator<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.iterators
-
This is basic generic SequenceIterator implementation
- AbstractSequenceIterator(Iterable<Sequence<T>>) - Constructor for class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator
-
- AbstractSequenceIterator.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.iterators
-
- AbstractVertexFactory<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.vertex
-
VertexFactory implementation
- AbstractVertexFactory() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.vertex.AbstractVertexFactory
-
- accept(T) - Method in interface org.deeplearning4j.berkeley.Filter
-
- acceptResult(String) - Method in class org.deeplearning4j.util.reflections.DL4JSubTypesScanner
-
- acceptsInput(String) - Method in class org.deeplearning4j.util.reflections.DL4JSubTypesScanner
-
- ACCESS_KEY - Static variable in class org.deeplearning4j.aws.s3.BaseS3
-
- ACCESS_SECRET - Static variable in class org.deeplearning4j.aws.s3.BaseS3
-
- accessKey - Variable in class org.deeplearning4j.aws.s3.BaseS3
-
- accumulateScore(double) - Method in interface org.deeplearning4j.nn.api.Model
-
Sets a rolling tally for the score.
- accumulateScore(double) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
-
- accumulateScore(double) - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
- accumulateScore(double) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
-
- accumulateScore(double) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- accumulateScore(double) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- accumulateScore(double) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- accumulateScore(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne
-
- accumulator - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.CountFunction
-
- accumulator - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraCountFunction
-
- accuracy() - Method in class org.deeplearning4j.eval.Evaluation
-
Accuracy:
(TP + TN) / (P + N)
- accuracy(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
-
Get the accuracy for the specified output
- accuracy(List<String>) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
-
Accuracy based on questions which are a space separated list of strings
where the first word is the query word, the next 2 words are negative,
and the last word is the predicted word to be nearest
- accuracy(List<String>) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
-
Accuracy based on questions which are a space separated list of strings
where the first word is the query word, the next 2 words are negative,
and the last word is the predicted word to be nearest
- accuracy(List<String>) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
-
Accuracy based on questions which are a space separated list of strings
where the first word is the query word, the next 2 words are negative,
and the last word is the predicted word to be nearest
- accuracy(List<String>) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
Accuracy based on questions which are a space separated list of strings
where the first word is the query word, the next 2 words are negative,
and the last word is the predicted word to be nearest
- accuracy(List<String>) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
-
Accuracy based on questions which are a space separated list of strings
where the first word is the query word, the next 2 words are negative,
and the last word is the predicted word to be nearest
PLEASE NOTE: This method is not available in this implementation.
- actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
-
- actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
-
- actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
-
- actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
-
- actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
-
- actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
-
- actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
-
- actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
-
- actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
-
- actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
-
- actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
-
- actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
-
- actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
-
- actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
-
- actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- actionForMapPartition(JavaRDD) - Method in class org.deeplearning4j.spark.text.functions.CountCumSum
-
- activate(Layer.TrainingMode) - Method in interface org.deeplearning4j.nn.api.Layer
-
Trigger an activation with the last specified input
- activate(INDArray, Layer.TrainingMode) - Method in interface org.deeplearning4j.nn.api.Layer
-
Initialize the layer with the given input
and return the activation for this layer
given this input
- activate(boolean) - Method in interface org.deeplearning4j.nn.api.Layer
-
Trigger an activation with the last specified input
- activate(INDArray, boolean) - Method in interface org.deeplearning4j.nn.api.Layer
-
Initialize the layer with the given input
and return the activation for this layer
given this input
- activate() - Method in interface org.deeplearning4j.nn.api.Layer
-
Trigger an activation with the last specified input
- activate(INDArray) - Method in interface org.deeplearning4j.nn.api.Layer
-
Initialize the layer with the given input
and return the activation for this layer
given this input
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.ActivationLayer
-
- activate(Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
- activate(INDArray, Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
- activate(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
- activate(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
- activate() - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
- activate(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
-
- activate(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
-
- activate() - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
-
- activate(INDArray, IActivation) - Method in interface org.deeplearning4j.nn.layers.convolution.ConvolutionHelper
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
-
- activate(INDArray, IActivation) - Method in class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper
-
- activate(INDArray, boolean, int[], int[], int[], PoolingType, ConvolutionMode) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.CudnnSubsamplingHelper
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling1DLayer
-
- activate(INDArray, boolean, int[], int[], int[], PoolingType, ConvolutionMode) - Method in interface org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingHelper
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.DropoutLayer
-
- activate(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
-
- activate(INDArray) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
-
- activate() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.feedforward.rbm.RBM
-
Reconstructs the visible INPUT.
- activate(Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- activate(INDArray, Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- activate(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- activate() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- activate(INDArray) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.LossLayer
-
- activate(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.LossLayer
-
- activate(INDArray) - Method in class org.deeplearning4j.nn.layers.LossLayer
-
- activate() - Method in class org.deeplearning4j.nn.layers.LossLayer
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
-
- activate(Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
-
- activate(INDArray, Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
-
- activate(INDArray, boolean, double, double, double, double) - Method in class org.deeplearning4j.nn.layers.normalization.CudnnLocalResponseNormalizationHelper
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
-
- activate(INDArray, boolean, double, double, double, double) - Method in interface org.deeplearning4j.nn.layers.normalization.LocalResponseNormalizationHelper
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer
-
- activate(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
-
- activate(INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
-
- activate() - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
-
- activate(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
-
- activate(INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
-
- activate() - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
-
- activate(Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- activate(INDArray, Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- activate(boolean) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- activate(INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- activate() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- activate(INDArray) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- activate() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
Triggers the activation of the last hidden layer ie: not logistic regression
- activate(int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
Triggers the activation for a given layer
- activate(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- activate(int, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
Triggers the activation of the given layer
- activate(Layer.TrainingMode) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- activate(INDArray, Layer.TrainingMode) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- activate(boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- activate(INDArray, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- activateHelper(Layer, NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, INDArray, INDArray, boolean, boolean, String, INDArray) - Static method in class org.deeplearning4j.nn.layers.recurrent.LSTMHelpers
-
Returns FwdPassReturn object with activations/INDArrays.
- activateScavenger() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
-
This method removes low-frequency words based on their frequency change between activations.
- activateSelectedLayers(int, int, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
Calculate activation for few layers at once.
- activation(IActivation) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
-
- activation(Activation) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
-
- activation(String) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
- activation(IActivation) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
- activation(Activation) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
- activation(String) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
- activation(IActivation) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
Activation function / neuron non-linearity
- activation(Activation) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
Activation function / neuron non-linearity
- activation(Activation) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
-
- ACTIVATION_DL4J - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayerTest
-
- ACTIVATION_KERAS - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayerTest
-
- ACTIVATION_LAYER - Static variable in class org.deeplearning4j.nn.conf.layers.setup.ConvolutionLayerSetup
-
Deprecated.
- activationFn - Variable in class org.deeplearning4j.nn.conf.layers.Layer
-
- activationFn - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
- activationFn - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
- activationFn - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
-
- activationFromPrevLayer(int, INDArray, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
Calculate activation from previous layer including pre processing where necessary
- ActivationLayer - Class in org.deeplearning4j.nn.conf.layers
-
- ActivationLayer - Class in org.deeplearning4j.nn.layers
-
Activation Layer
Used to apply activation on input and corresponding derivative on epsilon.
- ActivationLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.ActivationLayer
-
- ActivationLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.ActivationLayer
-
- ActivationLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
-
- ActivationLayerTest - Class in org.deeplearning4j.nn.layers
-
- ActivationLayerTest() - Constructor for class org.deeplearning4j.nn.layers.ActivationLayerTest
-
- activationMean() - Method in interface org.deeplearning4j.nn.api.Layer
-
- activationMean() - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
- activationMean() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
-
- activationMean() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- activationMean() - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
-
- activationMean() - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
-
- activationMean() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- activationMean() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- adaGrad - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
-
- adaGrad - Variable in class org.deeplearning4j.plot.BarnesHutTsne
-
- adaGrad - Variable in class org.deeplearning4j.plot.Tsne
-
- ADAGRAD - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
-
Deprecated.
- ADAGRAD - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
-
Deprecated.
- adamMeanDecay(double) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
-
Mean decay rate for Adam updater.
- adamMeanDecay - Variable in class org.deeplearning4j.nn.conf.layers.Layer
-
- adamMeanDecay - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
- adamMeanDecay(double) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
Mean decay rate for Adam updater.
- adamMeanDecay - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
- adamMeanDecay(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
Mean decay rate for Adam updater.
- adamMeanDecay - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
-
- adamVarDecay(double) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
-
Variance decay rate for Adam updater.
- adamVarDecay - Variable in class org.deeplearning4j.nn.conf.layers.Layer
-
- adamVarDecay - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
- adamVarDecay(double) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
Variance decay rate for Adam updater.
- adamVarDecay - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
- adamVarDecay(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
Variance decay rate for Adam updater.
- adamVarDecay - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
-
- adapter - Variable in class org.deeplearning4j.spark.util.BaseDoubleFlatMapFunctionAdaptee
-
- adapter - Variable in class org.deeplearning4j.spark.util.BasePairFlatMapFunctionAdaptee
-
- add(String) - Method in class com.atilika.kuromoji.trie.Trie
-
Adds an input value to this trie
- add(String) - Method in class com.atilika.kuromoji.trie.Trie.Node
-
Add string to add to this node
- add(String, boolean) - Method in class com.atilika.kuromoji.trie.Trie.Node
-
- add(E, double) - Method in class org.deeplearning4j.berkeley.PriorityQueue
-
- add(T, T) - Method in class org.deeplearning4j.eval.ConfusionMatrix
-
Increments the entry specified by actual and predicted by one.
- add(T, T, int) - Method in class org.deeplearning4j.eval.ConfusionMatrix
-
Increments the entry specified by actual and predicted by count.
- add(ConfusionMatrix<T>) - Method in class org.deeplearning4j.eval.ConfusionMatrix
-
Adds the entries from another confusion matrix to this one.
- add(E) - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
-
- add(DataSet) - Method in class org.deeplearning4j.parallelism.MagicQueue
-
- Add - Class in org.deeplearning4j.spark.impl.common
-
Adds 2 ndarrays
- Add() - Constructor for class org.deeplearning4j.spark.impl.common.Add
-
- add(E) - Method in class org.deeplearning4j.util.DiskBasedQueue
-
- add(Object, int) - Method in class org.deeplearning4j.util.Index
-
- add(Object) - Method in class org.deeplearning4j.util.Index
-
- add(Pair<K, V>) - Method in class org.deeplearning4j.util.MultiDimensionalSet
-
Adds the specified element to this applyTransformToDestination if it is not already present
(optional operation).
- add(K, V) - Method in class org.deeplearning4j.util.MultiDimensionalSet
-
- addAccumulator(Counter<Long>, Counter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ElementsFrequenciesAccumulator
-
- addAccumulator(ExtraCounter<Long>, ExtraCounter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraElementsFrequenciesAccumulator
-
- addAccumulator(Counter<Integer>, Counter<Integer>) - Method in class org.deeplearning4j.spark.text.accumulators.MaxPerPartitionAccumulator
-
- addAccumulator(Counter<String>, Counter<String>) - Method in class org.deeplearning4j.spark.text.accumulators.WordFreqAccumulator
-
- addAll(Collection<? extends E>) - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
-
- addAll(Collection<? extends DataSet>) - Method in class org.deeplearning4j.parallelism.MagicQueue
-
- addAll(Collection<? extends E>) - Method in class org.deeplearning4j.util.DiskBasedQueue
-
- addAll(Collection<? extends Pair<K, V>>) - Method in class org.deeplearning4j.util.MultiDimensionalSet
-
Adds all of the elements in the specified collection to this applyTransformToDestination if
they're not already present (optional operation).
- addBin(double, double, double) - Method in class org.deeplearning4j.ui.components.chart.ChartHistogram.Builder
-
Add a single bin
- addBos() - Method in class com.atilika.kuromoji.viterbi.ViterbiLattice
-
- addChild(Trie.Node) - Method in class com.atilika.kuromoji.trie.Trie.Node
-
Adds a new child node to this node
- addClusterInfo(String) - Method in class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
-
- addColumn(List<String>) - Method in class org.deeplearning4j.util.StringGrid
-
- addComponents(Component...) - Method in class org.deeplearning4j.ui.components.decorator.DecoratorAccordion.Builder
-
Components to show internally in the accordion element
- addConnection(LayerInfo) - Method in class org.deeplearning4j.ui.flow.beans.LayerInfo
-
- addConnection(int, int) - Method in class org.deeplearning4j.ui.flow.beans.LayerInfo
-
- addDataSet1() - Method in class org.deeplearning4j.parallelism.MagicQueueTest
-
- addDataSet2() - Method in class org.deeplearning4j.parallelism.MagicQueueTest
-
This test will fail on single-gpu system
- addDistribution(int, ReconstructionDistribution) - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution.Builder
-
Add another distribution to the composite distribution.
- addEdge(int, int, E, boolean) - Method in class org.deeplearning4j.graph.api.BaseGraph
-
- addEdge(Edge<E>) - Method in interface org.deeplearning4j.graph.api.IGraph
-
Add an edge to the graph.
- addEdge(int, int, E, boolean) - Method in interface org.deeplearning4j.graph.api.IGraph
-
Convenience method for adding an edge (directed or undirected) to graph
- addEdge(Edge<E>) - Method in class org.deeplearning4j.graph.graph.Graph
-
- addEdge(Edge<E>) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
-
- addEdge(int, int, E, boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
-
Convenience method for adding an edge (directed or undirected) to graph
- addEdge(Edge<E>) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
-
Add an edge to the graph.
- addEdge(int, int, E, boolean) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
-
Convenience method for adding an edge (directed or undirected) to graph
- addElement(T) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
-
Adds single element to sequence
- addElements(Collection<T>) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
-
Adds collection of elements to the sequence
- addEntry(String) - Method in class com.atilika.kuromoji.dict.UserDictionary
-
- addEos() - Method in class com.atilika.kuromoji.viterbi.ViterbiLattice
-
- addExp(float[], int) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
- addExp_Old(float[]) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
Similar to logAdd, but without the final log.
- addHook(TrainingHook) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
-
Add a hook for the master for pre and post training
- addHook(TrainingHook) - Method in interface org.deeplearning4j.spark.api.TrainingWorker
-
Add a training hook to be used
during training of the worker
- addHook(TrainingHook) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
-
Add a hook for the master for pre and post training
- addHook(TrainingHook) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
-
Add a training hook to be used
during training of the worker
- addInPlace(Counter<Long>, Counter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ElementsFrequenciesAccumulator
-
- addInPlace(ExtraCounter<Long>, ExtraCounter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraElementsFrequenciesAccumulator
-
- addInPlace(Counter<Integer>, Counter<Integer>) - Method in class org.deeplearning4j.spark.text.accumulators.MaxPerPartitionAccumulator
-
- addInPlace(Counter<String>, Counter<String>) - Method in class org.deeplearning4j.spark.text.accumulators.WordFreqAccumulator
-
- addInput(String) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
-
Set as an input, the entire contents (all columns) of the RecordReader or SequenceRecordReader
- addInput(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
-
Set as an input, a subset of the specified RecordReader or SequenceRecordReader
- addInputOneHot(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
-
Add as an input a single column from the specified RecordReader / SequenceRecordReader
The assumption is that the specified column contains integer values in range 0..numClasses-1;
this integer will be converted to a one-hot representation
- addInputs(String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
-
Specify the inputs to the network, and their associated labels.
- addInputs(String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
-
- addIpAddress(String) - Method in class org.deeplearning4j.spark.models.sequencevectors.primitives.NetworkInformation
-
- addKeyFile(String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
-
- addLabel(String) - Method in class org.deeplearning4j.text.documentiterator.LabelledDocument
-
- addLabelForDoc(int, T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Add word to a document
- addLabelForDoc(int, String) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Adds words to the given document
- addLabelsForDoc(int, List<T>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Add word to a document
- addLabelsForDoc(int, Collection<String>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Adds words to the given document
- addLane(String, List<ChartTimeline.TimelineEntry>) - Method in class org.deeplearning4j.ui.components.chart.ChartTimeline.Builder
-
- addLayer(String, Layer, String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
-
Add a layer, with no
InputPreProcessor, with the specified name and specified inputs.
- addLayer(String, Layer, InputPreProcessor, String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
-
- addLayer(Layer) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
-
Add layers to the net
Required if layers are removed.
- addLayer(String, Layer, String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
-
Add a layer of the specified configuration to the computation graph
- addLayer(String, Layer, InputPreProcessor, String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
-
Add a layer with a specified preprocessor
- addLayer(LayerInfo) - Method in class org.deeplearning4j.ui.flow.beans.ModelInfo
-
This method maps given layer into model coordinate space
- addMapping(int, int) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
-
- addMapping(int, int) - Method in class com.atilika.kuromoji.compile.WordIdMapCompiler
-
- addNewClusterWithCenter(Point) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
-
- addNormalizerToModel(File, Normalizer<?>) - Static method in class org.deeplearning4j.util.ModelSerializer
-
This method appends normalizer to a given persisted model.
- addOtherTrainingStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
-
- addOtherTrainingStats(SparkTrainingStats) - Method in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
-
Combine the two training stats instances.
- addOtherTrainingStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
-
- addOtherTrainingStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
-
- addOutput(String) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
-
Set as an output, the entire contents (all columns) of the RecordReader or SequenceRecordReader
- addOutput(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
-
Add an output, with a subset of the columns from the named RecordReader or SequenceRecordReader
- addOutputOneHot(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
-
An an output, where the output is taken from a single column from the specified RecordReader / SequenceRecordReader
The assumption is that the specified column contains integer values in range 0..numClasses-1;
this integer will be converted to a one-hot representation (usually for classification)
- addPerformanceBatches(float) - Method in class org.deeplearning4j.ui.flow.beans.ModelState
-
- addPerformanceSamples(float) - Method in class org.deeplearning4j.ui.flow.beans.ModelState
-
- addPoint(Point) - Method in class org.deeplearning4j.clustering.cluster.Cluster
-
- addPoint(Point, boolean) - Method in class org.deeplearning4j.clustering.cluster.Cluster
-
- addPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.CombinedPreProcessor.Builder
-
- addPreProcessor(int, DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.CombinedPreProcessor.Builder
-
- addPreProcessors(InputType...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
-
Add preprocessors automatically, given the specified types of inputs for the network.
- addReader(String, RecordReader) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
-
Add a RecordReader for use in .addInput(...) or .addOutput(...)
- addRow(List<String>) - Method in class org.deeplearning4j.util.StringGrid
-
- addScore(float) - Method in class org.deeplearning4j.ui.flow.beans.ModelState
-
- addSentenceIterator(SentenceIterator) - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
-
- addSentenceIterators(Collection<SentenceIterator>) - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
-
- addSentencePreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
-
- addSequenceLabel(T) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
-
Adds sequence label.
- addSequenceReader(String, SequenceRecordReader) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
-
Add a SequenceRecordReader for use in .addInput(...) or .addOutput(...)
- addSeries(String, double[], double[]) - Method in class org.deeplearning4j.ui.components.chart.ChartLine.Builder
-
- addSeries(String, double[], double[]) - Method in class org.deeplearning4j.ui.components.chart.ChartScatter.Builder
-
- addSeries(String, double[]) - Method in class org.deeplearning4j.ui.components.chart.ChartStackedArea.Builder
-
Add a single series.
- addSource(SequenceIterator<T>, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
-
Adds SequenceIterator for vocabulary construction.
- addSourceFolder(File) - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator.Builder
-
Root folder for labels -> documents.
- addSourceFolder(File) - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder
-
Root folder for labels -> documents.
- AddTest - Class in org.deeplearning4j.spark.common
-
Created by agibsonccc on 2/8/15.
- AddTest() - Constructor for class org.deeplearning4j.spark.common.AddTest
-
- addToConfusion(Integer, Integer) - Method in class org.deeplearning4j.eval.Evaluation
-
Adds to the confusion matrix
- addToken(T) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
This method adds specified SequenceElement to vocabulary
- addToken(VocabWord) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
- addToken(T) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Adds a token
to the cache
- addValue(String, double) - Method in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar.Builder
-
- addValues(List<String>, double[]) - Method in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar.Builder
-
- addValues(List<String>, float[]) - Method in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar.Builder
-
- addVariable(String) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
-
- addVertex(Vertex<V>, Edge<E>) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
-
- addVertex(Vertex<V>, Collection<Edge<E>>) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
-
- addVertex(String, GraphVertex, String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
-
- addVertex(String, GraphVertex, String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
-
Add a vertex of the given configuration to the computation graph
- addWord(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
-
Adds new word to vocabulary
- addWord(VocabularyWord) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
-
- addWordsToDoc(int, List<T>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Adds words to the given document
- addWordsToDoc(int, List<T>, String) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Adds words to the given document
- addWordsToDoc(int, List<T>, T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Adds words to the given document
- addWordsToDoc(int, List<T>, Collection<String>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Adds words to the given document
- addWordsToDocVocabWord(int, List<T>, Collection<T>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Adds words to the given document
- addWordToDoc(int, T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Add word to a document
- addWordToIndex(int, String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
This method allows to insert specified label to specified Huffman tree position.
- addWordToIndex(int, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
- addWordToIndex(int, String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
- addWordToIndex(int, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
- addWordToIndex(int, String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
- addWordToIndex(int, long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
- addWorkerStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
-
- adjustedrSquared(double, int, int) - Static method in class org.deeplearning4j.util.MathUtils
-
This calculates the adjusted r^2 including degrees of freedom.
- affinityId - Variable in class org.deeplearning4j.models.word2vec.VocabWord
-
- after() - Method in class org.deeplearning4j.spark.BaseSparkTest
-
- after() - Method in class org.deeplearning4j.spark.text.BaseSparkTest
-
- after() - Method in class org.deeplearning4j.streaming.routes.Dl4jServingRouteTest
-
- after() - Method in class org.deeplearning4j.text.sentenceiterator.SentenceIteratorTest
-
- after() - Static method in class org.deeplearning4j.ui.BaseUiServerTest
-
- after2() - Static method in class org.deeplearning4j.streaming.routes.Dl4jServingRouteTest
-
- AggregatingSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
-
This is simple wrapper suited for aggregation of few SentenceIterators into single flow.
- AggregatingSentenceIterator.Builder - Class in org.deeplearning4j.text.sentenceiterator
-
- AggregatingSentenceIteratorTest - Class in org.deeplearning4j.text.sentenceiterator
-
Created by fartovii on 01.12.15.
- AggregatingSentenceIteratorTest() - Constructor for class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIteratorTest
-
- AgronaPersistable - Interface in org.deeplearning4j.ui.storage
-
Created by Alex on 07/10/2016.
- ALF - Variable in class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
-
- allDocs() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Returns a list of all documents
- allLabels() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider
-
Return the list of labels - this also defines the class/integer label assignment order
- allLabels() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
-
- allLabels() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
-
- allLabels() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
-
- allMatches(String, String) - Static method in class org.deeplearning4j.berkeley.StringUtils
-
- allowEmptyClusters - Variable in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
-
- allowMultithreading - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
-
- allowMultithreading - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
-
- allowMultithreading - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
-
- allowMultithreading(boolean) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
-
This method enables/disables parallel processing over sentences
- allowParallelTokenization(boolean) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
-
- allowParallelTokenization(boolean) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
-
- allowParallelTokenization(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
This method enables/disables parallel tokenization.
- allowParallelTokenization - Variable in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
- allowParallelTokenization(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
This method enables/disables parallel tokenization.
- allowParallelTokenization(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
-
- allRunning() - Method in class org.deeplearning4j.aws.ec2.Ec2BoxCreator
-
- alpha - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
-
- alpha - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
-
- alpha(double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
-
Parameter in exponent of weighting function; default 0.75
- alpha - Variable in class org.deeplearning4j.models.glove.Glove.Builder
-
- alpha(double) - Method in class org.deeplearning4j.models.glove.Glove.Builder
-
Parameter in exponent of weighting function; default 0.75
- alpha - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
-
- alpha - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
-
- alpha - Variable in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
-
- alpha - Variable in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
-
- alpha(double) - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
-
- alpha - Variable in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
-
- alpha(double) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder
-
LRN scaling constant alpha.
- ALPHA - Static variable in class org.deeplearning4j.spark.models.embeddings.glove.GlovePerformer
-
- ALPHA - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
-
Deprecated.
- ALPHA - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
-
Deprecated.
- analyzeTokenInfo(InputStream) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
-
- ancestor(int, Tree) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
-
Returns the ancestor of the given tree
- ApiTest - Class in org.deeplearning4j.ui
-
- ApiTest() - Constructor for class org.deeplearning4j.ui.ApiTest
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
-
- appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
-
- appendTo(String, File) - Static method in class org.deeplearning4j.util.FileOperations
-
- appendToEach(String, int) - Method in class org.deeplearning4j.util.StringGrid
-
- appliedNeuralNetConfiguration(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
-
- appliedNeuralNetConfigurationBuilder() - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
-
- apply(String) - Method in class org.deeplearning4j.keras.StringsEndsWithPredicate
-
- apply() - Method in class org.deeplearning4j.spark.ml.impl.AutoEncoderNetworkTest.ParamHelper
-
- apply() - Method in class org.deeplearning4j.spark.ml.impl.SparkDl4jNetworkTest.ParamHelper
-
- apply(GloveWeightLookupTable) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
-
Apply the changes to the table
- apply(InMemoryLookupTable) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecChange
-
Deprecated.
Take the changes and apply them
to the given table
- apply(String) - Method in class org.deeplearning4j.ui.play.staticroutes.Assets
-
- apply(String) - Method in class org.deeplearning4j.ui.play.staticroutes.I18NRoute
-
- applyClusteringStrategy() - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
-
- applyDropConnect(Layer, String) - Static method in class org.deeplearning4j.util.Dropout
-
Apply drop connect to the given variable
- applyDropout(INDArray, double) - Static method in class org.deeplearning4j.util.Dropout
-
Apply dropout to the given input
and return the drop out mask used
- applyDropOutIfNecessary(boolean) - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
- applyDropOutIfNecessary(boolean) - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer
-
- applyIndexes(VocabCache<? extends SequenceElement>) - Method in class org.deeplearning4j.models.word2vec.Huffman
-
This method updates VocabCache and all it's elements with Huffman indexes
Please note: it should be the same VocabCache as was used for Huffman tree initialization
- applyLearningRateScoreDecay() - Method in interface org.deeplearning4j.nn.api.Model
-
Update learningRate using for this model.
- applyLearningRateScoreDecay() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
-
- applyLearningRateScoreDecay() - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
- applyLearningRateScoreDecay() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- applyLearningRateScoreDecay() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- applyLearningRateScoreDecay() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- applyLearningRateScoreDecay() - Method in class org.deeplearning4j.plot.BarnesHutTsne
-
- applyLrDecayPolicy(LearningRatePolicy, Layer, int, String) - Method in class org.deeplearning4j.nn.updater.LayerUpdater
-
Update learning rate based on policy
- applyMask(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
- applyMask(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
-
- applyMomentumDecayPolicy(Layer, int, String) - Method in class org.deeplearning4j.nn.updater.LayerUpdater
-
Update momentum if schedule exist
- applyOptimization(OptimisationStrategy, ClusterSet, ClusterSetInfo, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
-
- applySubsampling(Sequence<T>, AtomicLong) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
-
- applySubsampling(Sequence<T>, AtomicLong) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
-
- applySubsampling(Sequence<ShallowSequenceElement>, AtomicLong, long, double) - Static method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
-
- applyTo(List<Point>) - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
-
- applyTo(List<Point>) - Method in interface org.deeplearning4j.clustering.algorithm.ClusteringAlgorithm
-
- applyToComputationGraphConfiguration(ComputationGraphConfiguration) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
-
- applyToMultiLayerConfiguration(MultiLayerConfiguration) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
-
- applyToNeuralNetConfiguration(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
-
- approxEquals(Counter<E>, double) - Method in class org.deeplearning4j.berkeley.Counter
-
- approxExp(double) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
- approxLog(double) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
- approxPow(double, double) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
- ArchiveUtils - Class in org.deeplearning4j.util
-
- argMax() - Method in class org.deeplearning4j.berkeley.Counter
-
Finds the key with maximum count.
- argMax() - Method in class org.deeplearning4j.berkeley.CounterMap
-
Finds the key with maximum count.
- argsToMap(String[]) - Static method in class org.deeplearning4j.berkeley.StringUtils
-
Parses command line arguments into a Map.
- argsToMap(String[], Map<String, Integer>) - Static method in class org.deeplearning4j.berkeley.StringUtils
-
Parses command line arguments into a Map.
- argsToProperties(String[]) - Static method in class org.deeplearning4j.berkeley.StringUtils
-
- argsToProperties(String[], Map) - Static method in class org.deeplearning4j.berkeley.StringUtils
-
- ArrayComparator() - Constructor for class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils.ArrayComparator
-
- ArrayPairToPair<K> - Class in org.deeplearning4j.spark.impl.graph.scoring
-
Simple conversion function for SparkComputationGraph
- ArrayPairToPair() - Constructor for class org.deeplearning4j.spark.impl.graph.scoring.ArrayPairToPair
-
- arrayToList(byte[], int) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
-
This method is used only for VocabCache compatibility purposes
- arrayToList(int[], int) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
-
This method is used only for VocabCache compatibility purposes
- arrayToString(String[]) - Static method in class org.deeplearning4j.util.StringUtils
-
Given an array of strings, return a comma-separated list of its elements.
- ArrayUtilTest - Class in org.deeplearning4j.util
-
- ArrayUtilTest() - Constructor for class org.deeplearning4j.util.ArrayUtilTest
-
- ASCIICoOccurrenceReader<T extends SequenceElement> - Class in org.deeplearning4j.models.glove.count
-
- ASCIICoOccurrenceReader(File, VocabCache<T>) - Constructor for class org.deeplearning4j.models.glove.count.ASCIICoOccurrenceReader
-
- ASCIICoOccurrenceWriter<T extends SequenceElement> - Class in org.deeplearning4j.models.glove.count
-
- ASCIICoOccurrenceWriter(File) - Constructor for class org.deeplearning4j.models.glove.count.ASCIICoOccurrenceWriter
-
- asciify(String) - Method in class org.deeplearning4j.util.FingerPrintKeyer
-
- asCounter() - Method in class org.deeplearning4j.berkeley.PriorityQueue
-
Returns a counter whose keys are the elements in this priority queue, and
whose counts are the priorities in this queue.
- asExampleArray(Window, Word2Vec, boolean) - Static method in class org.deeplearning4j.text.movingwindow.WindowConverter
-
Converts a window (each word in the window)
in to a vector.
- asExampleMatrix(Window, Word2Vec) - Static method in class org.deeplearning4j.text.movingwindow.WindowConverter
-
Converts a window (each word in the window)
in to a vector.
- asFloat(INDArray) - Static method in class org.deeplearning4j.nn.multilayer.BackPropMLPTest
-
- asFloat(INDArray) - Static method in class org.deeplearning4j.nn.multilayer.MultiLayerTest
-
- asLabels() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
-
Returns this sequence as list of labels
- asMinPriorityQueue() - Method in class org.deeplearning4j.berkeley.Counter
-
Warning: all priorities are the negative of their counts in the counter
here
- asPriorityQueue() - Method in class org.deeplearning4j.berkeley.Counter
-
Builds a priority queue whose elements are the counter's elements, and
whose priorities are those elements' counts in the counter.
- assertCanTokenizeStream(InputStream, TokenizerBase) - Static method in class com.atilika.kuromoji.TestUtils
-
- assertCanTokenizeString(String, TokenizerBase) - Static method in class com.atilika.kuromoji.TestUtils
-
- assertCharacterCategories(CharacterDefinitions, char, String...) - Method in class com.atilika.kuromoji.compile.CharacterDefinitionsCompilerTest
-
- assertEqualTokenFeatureLengths(String, TokenizerBase) - Static method in class com.atilika.kuromoji.TestUtils
-
- assertExportSupported(JavaSparkContext) - Static method in class org.deeplearning4j.spark.impl.paramavg.util.ExportSupport
-
Verify that exporting data is supported, and throw an informative exception if not.
- assertMultiThreadedTokenizedStreamEquals(int, int, String, String, TokenizerBase) - Static method in class com.atilika.kuromoji.TestUtils
-
- assertNInNOutSet(String, String, int, int, int) - Static method in class org.deeplearning4j.util.LayerValidation
-
Asserts that the layer nIn and nOut values are set for the layer
- assertSegmentation(String) - Method in class com.atilika.kuromoji.ipadic.SearchTokenizerTest
-
- assertSegmentation(String, List<String>) - Method in class com.atilika.kuromoji.ipadic.SearchTokenizerTest
-
- assertTokenizedStreamEquals(InputStream, InputStream, TokenizerBase) - Static method in class com.atilika.kuromoji.TestUtils
-
- assertTokenSurfacesEquals(List<String>, List<? extends TokenBase>) - Static method in class com.atilika.kuromoji.TestUtils
-
- AssertWeightsDifferentIerationListener - Class in org.deeplearning4j.optimizer.listener
-
- AssertWeightsDifferentIerationListener(String) - Constructor for class org.deeplearning4j.optimizer.listener.AssertWeightsDifferentIerationListener
-
- Assets - Class in org.deeplearning4j.ui.play.staticroutes
-
Simple function for serving assets.
- Assets() - Constructor for class org.deeplearning4j.ui.play.staticroutes.Assets
-
- ASSETS_ROOT_DIRECTORY - Static variable in class org.deeplearning4j.ui.play.PlayUIServer
-
- AssignIndexFunction<T> - Class in org.deeplearning4j.spark.impl.common.repartition
-
A Function2 used to assign each element in a RDD an index (integer key).
- AssignIndexFunction(int[]) - Constructor for class org.deeplearning4j.spark.impl.common.repartition.AssignIndexFunction
-
- assignVar(String, SparkConf, Class) - Static method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
-
Deprecated.
- asString(String) - Method in class org.deeplearning4j.spark.stats.BaseEventStats
-
- asString(String) - Method in interface org.deeplearning4j.spark.stats.EventStats
-
Get a String representation of the EventStats.
- asString(String) - Method in class org.deeplearning4j.spark.stats.ExampleCountEventStats
-
- asString(String) - Method in class org.deeplearning4j.spark.stats.PartitionCountEventStats
-
- asTokens() - Method in class org.deeplearning4j.text.movingwindow.Window
-
- async - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
-
- AsyncDataSetIterator - Class in org.deeplearning4j.datasets.iterator
-
AsyncDataSetIterator takes an existing DataSetIterator and loads one or more DataSet objects
from it using a separate thread.
- AsyncDataSetIterator(DataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
-
Create an AsyncDataSetIterator with a queue size of 1 (i.e., only load a
single additional DataSet)
- AsyncDataSetIterator(DataSetIterator, int, BlockingQueue<DataSet>) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
-
Create an AsyncDataSetIterator with a queue size of 1 (i.e., only load a
single additional DataSet)
- AsyncDataSetIterator(DataSetIterator, int) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
-
Create an AsyncDataSetIterator with a specified queue size.
- AsyncDataSetIteratorTest - Class in org.deeplearning4j.datasets.iterator
-
- AsyncDataSetIteratorTest() - Constructor for class org.deeplearning4j.datasets.iterator.AsyncDataSetIteratorTest
-
- AsyncIterator<T> - Class in org.deeplearning4j.parallelism
-
Asynchronous Iterator for better performance of iterators in dl4j-nn & dl4j-nlp
- AsyncIterator(Iterator<T>, int) - Constructor for class org.deeplearning4j.parallelism.AsyncIterator
-
- AsyncIterator(Iterator<T>) - Constructor for class org.deeplearning4j.parallelism.AsyncIterator
-
- asyncIterator - Variable in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
-
- AsyncIteratorTest - Class in org.deeplearning4j.parallelism
-
- AsyncIteratorTest() - Constructor for class org.deeplearning4j.parallelism.AsyncIteratorTest
-
- AsyncLabelAwareIterator - Class in org.deeplearning4j.text.documentiterator
-
- AsyncLabelAwareIterator(LabelAwareIterator, int) - Constructor for class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
-
- AsyncLabelAwareIteratorTest - Class in org.deeplearning4j.text.documentiterator
-
- AsyncLabelAwareIteratorTest() - Constructor for class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIteratorTest
-
- AsyncMultiDataSetIterator - Class in org.deeplearning4j.datasets.iterator
-
Async prefetching iterator wrapper for MultiDataSetIterator implementations
- AsyncMultiDataSetIterator(MultiDataSetIterator, int) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
-
- AsyncSequencer(SequenceIterator<T>, Collection<String>) - Constructor for class org.deeplearning4j.models.sequencevectors.SequenceVectors.AsyncSequencer
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.keras.HDF5MiniBatchDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
-
- asyncSupported() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
-
- attach(StatsStorage) - Method in class org.deeplearning4j.ui.api.UIServer
-
Attach the given StatsStorage instance to the UI, so the data can be visualized
- attach(StatsStorage) - Method in class org.deeplearning4j.ui.play.PlayUIServer
-
- AutoEncoder - Class in org.deeplearning4j.nn.conf.layers
-
Autoencoder.
- AutoEncoder - Class in org.deeplearning4j.nn.layers.feedforward.autoencoder
-
Autoencoder.
- AutoEncoder(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
-
- AutoEncoder(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
-
- AutoEncoder.Builder - Class in org.deeplearning4j.nn.conf.layers
-
- AutoEncoderNetworkTest - Class in org.deeplearning4j.spark.ml.impl
-
- AutoEncoderNetworkTest() - Constructor for class org.deeplearning4j.spark.ml.impl.AutoEncoderNetworkTest
-
- AutoEncoderNetworkTest.ParamHelper - Class in org.deeplearning4j.spark.ml.impl
-
- AutoEncoderTest - Class in org.deeplearning4j.nn.layers.feedforward.autoencoder
-
- AutoEncoderTest() - Constructor for class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoderTest
-
- availableMemory - Variable in class org.deeplearning4j.spark.models.sequencevectors.primitives.NetworkInformation
-
- averageUpdaters - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
-
- averageUpdaters - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
-
- averageUpdaters(boolean) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
-
This method enables/disables updaters averaging.
- averagingFrequency - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
-
- averagingFrequency - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
-
- averagingFrequency(int) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
-
Model averaging frequency.
- averagingFrequency(int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
-
Frequency with which to average worker parameters.
Note: Too high or too low can be bad for different reasons.
- Too low (such as 1) can result in a lot of network traffic
- Too high (>> 20 or so) can result in accuracy issues or problems with network convergence
- AWS_ACCESS_KEY - Static variable in class org.deeplearning4j.aws.s3.BaseS3
-
- AWS_SECRET_KEY - Static variable in class org.deeplearning4j.aws.s3.BaseS3
-
- axisStrokeWidth - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
-
- axisStrokeWidth - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
-
- axisStrokeWidth(double) - Method in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
-