A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

U

UI_CUSTOM_MODULE_PROPERTY - Static variable in class org.deeplearning4j.ui.play.PlayUIServer

System property to enable classpath scanning for custom UI modules.

UI_SERVER_PORT_PROPERTY - Static variable in class org.deeplearning4j.ui.play.PlayUIServer

System property for setting the UI port.

UiConnectionInfo - Class in org.deeplearning4j.ui

POJO describing the location and credentials for DL4j UiServer instance

UiConnectionInfo() - Constructor for class org.deeplearning4j.ui.UiConnectionInfo

UiConnectionInfo.Builder - Class in org.deeplearning4j.ui

UiConnectionInfoTest - Class in org.deeplearning4j.ui

UiConnectionInfoTest() - Constructor for class org.deeplearning4j.ui.UiConnectionInfoTest

UIDProvider - Class in org.deeplearning4j.util

Static methods for obtaining unique identifiers for both the machine (hardware) and the JVM.

UimaResource - Class in org.deeplearning4j.text.uima

Resource holder for uima

UimaResource(AnalysisEngine) - Constructor for class org.deeplearning4j.text.uima.UimaResource

UimaResource(AnalysisEngine, CasPool) - Constructor for class org.deeplearning4j.text.uima.UimaResource

UimaSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator

Iterates over and returns sentences based on the passed in analysis engine

UimaSentenceIterator(SentencePreProcessor, String, UimaResource) - Constructor for class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator

UimaSentenceIterator(SentencePreProcessor, CollectionReader, UimaResource) - Constructor for class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator

UimaSentenceIterator(String, UimaResource) - Constructor for class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator

UimaTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer

Tokenizer based on the passed in analysis engine

UimaTokenizer(String, UimaResource, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.UimaTokenizer

UimaTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory

Uses a uima AnalysisEngine to tokenize text.

UimaTokenizerFactory() - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory

UimaTokenizerFactory(UimaResource) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory

UimaTokenizerFactory(AnalysisEngine) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory

UimaTokenizerFactory(UimaResource, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory

UimaTokenizerFactory(boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory

UimaTokenizerFactory(AnalysisEngine, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory

UIModule - Interface in org.deeplearning4j.ui.api

UIModule encapsulates the user interface functionality for a page or group of pages that rely on data coming from a StatsStorage instance.
When a StatsStorage object is attached to a UIServer, the UI server will start receiving StatsStorageEvent instances; some of these (only the appropriate ones based on the specified TypeIDs from the UIModule.getCallbackTypeIDs() method) will be routed to the UIModule, via UIModule.reportStorageEvents(Collection).

UIServer - Class in org.deeplearning4j.ui.api

Interface for user interface server

UIServer() - Constructor for class org.deeplearning4j.ui.api.UIServer

UITest - Class in org.deeplearning4j.models

Created by Alex on 10/01/2017.

UITest() - Constructor for class org.deeplearning4j.models.UITest

UiUtils - Class in org.deeplearning4j.ui

underline(boolean) - Method in class org.deeplearning4j.ui.components.text.style.StyleText.Builder

If true: text should be underlined (default: not)

underlyingHas - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator

underlyingIterable - Variable in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator

underlyingIterator - Variable in class org.deeplearning4j.models.sequencevectors.iterators.SynchronizedSequenceIterator

unescape(String) - Static method in class com.atilika.kuromoji.util.DictionaryEntryLineParser

Unescape input for CSV

unEscapeString(String) - Static method in class org.deeplearning4j.util.StringUtils

Unescape commas in the string using the default escape char

unEscapeString(String, char, char) - Static method in class org.deeplearning4j.util.StringUtils

Unescape charToEscape in the string with the escape char escapeChar

unEscapeString(String, char, char[]) - Static method in class org.deeplearning4j.util.StringUtils

unfrozenGraph() - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper

Returns the unfrozen subset of the original computation graph as a computation graph Note that with each call to featurizedFit the parameters to the original computation graph are also updated

unfrozenMLN() - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper

Returns the unfrozen layers of the MultiLayerNetwork as a multilayernetwork Note that with each call to featurizedFit the parameters to the original MLN are also updated

uniform(Random, double, double) - Static method in class org.deeplearning4j.util.MathUtils

Generate a uniform random number from the given rng

UniformDistribution - Class in org.deeplearning4j.nn.conf.distribution

A uniform distribution.

UniformDistribution(double, double) - Constructor for class org.deeplearning4j.nn.conf.distribution.UniformDistribution

Create a uniform real distribution using the given lower and upper bounds.

union(Set<? extends T>, Set<? extends T>) - Static method in class org.deeplearning4j.util.SetUtils

UnitVarianceProcessor - Class in org.deeplearning4j.nn.conf.preprocessor

Unit variance operation

UnitVarianceProcessor() - Constructor for class org.deeplearning4j.nn.conf.preprocessor.UnitVarianceProcessor

UNK - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder

UNKNOWN_DICTIONARY_FILENAME - Static variable in class com.atilika.kuromoji.dict.UnknownDictionary

UnknownDictionary - Class in com.atilika.kuromoji.dict

UnknownDictionary(CharacterDefinitions, int[][], int[][], String[][], int) - Constructor for class com.atilika.kuromoji.dict.UnknownDictionary

UnknownDictionary(CharacterDefinitions, int[][], int[][], String[][]) - Constructor for class com.atilika.kuromoji.dict.UnknownDictionary

unknownDictionary - Variable in class com.atilika.kuromoji.TokenizerBase.Builder

UnknownDictionaryCompiler - Class in com.atilika.kuromoji.compile

UnknownDictionaryCompiler(Map<String, Integer>, OutputStream) - Constructor for class com.atilika.kuromoji.compile.UnknownDictionaryCompiler

UnknownDictionaryCompilerTest - Class in com.atilika.kuromoji.compile

UnknownDictionaryCompilerTest() - Constructor for class com.atilika.kuromoji.compile.UnknownDictionaryCompilerTest

UnknownDictionaryEntryParser - Class in com.atilika.kuromoji.util

UnknownDictionaryEntryParser() - Constructor for class com.atilika.kuromoji.util.UnknownDictionaryEntryParser

unknownElement(VocabWord) - Method in class org.deeplearning4j.models.glove.Glove.Builder

This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used

unknownElement(V) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder

Deprecated.

unknownElement(VocabWord) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder

This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used

unknownElement - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder

unknownElement(T) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder

This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used

unknownElement - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors

unknownElement(VocabWord) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder

This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used

unknownWordHandling(CnnSentenceDataSetIterator.UnknownWordHandling) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder

Specify how unknown words (those that don't have a word vector in the provided WordVectors instance) should be handled.

unlock() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex

Unlock the index

unroll - Variable in class org.deeplearning4j.nn.modelimport.keras.layers.KerasLstm

unsafeAdd(double, double) - Static method in class org.deeplearning4j.berkeley.SloppyMath

unsafeSubtract(double, double) - Static method in class org.deeplearning4j.berkeley.SloppyMath

UnstackVertex - Class in org.deeplearning4j.nn.conf.graph

UnstackVertex allows for unstacking of inputs so that they may be forwarded through a network.

UnstackVertex(int, int) - Constructor for class org.deeplearning4j.nn.conf.graph.UnstackVertex

UnstackVertex - Class in org.deeplearning4j.nn.graph.vertex.impl

UnstackVertex allows for unstacking of inputs so that they may be forwarded through a network.

UnstackVertex(ComputationGraph, String, int, int, int) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex

UnstackVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], int, int) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex

UnsupportedKerasConfigurationException - Exception in org.deeplearning4j.nn.modelimport.keras

Indicates that user is attempting to import a Keras model configuration that is not currently supported.

UnsupportedKerasConfigurationException(String) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.UnsupportedKerasConfigurationException

UnsupportedKerasConfigurationException(String, Throwable) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.UnsupportedKerasConfigurationException

UnsupportedKerasConfigurationException(Throwable) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.UnsupportedKerasConfigurationException

unzipFileTo(String, String) - Static method in class org.deeplearning4j.util.ArchiveUtils

Extracts files to the specified destination

update() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl

update(Environment, Event) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl

update(Gradient) - Method in interface org.deeplearning4j.nn.api.Model

Update layer weights and biases with gradient change

update(INDArray, String) - Method in interface org.deeplearning4j.nn.api.Model

Perform one update applying the gradient

update(Layer, Gradient, int, int) - Method in interface org.deeplearning4j.nn.api.Updater

Updater: updates the model

update(INDArray, String) - Method in class org.deeplearning4j.nn.graph.ComputationGraph

update(Gradient) - Method in class org.deeplearning4j.nn.graph.ComputationGraph

update(Gradient) - Method in class org.deeplearning4j.nn.layers.BaseLayer

update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.BaseLayer

update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer

update(Gradient) - Method in class org.deeplearning4j.nn.layers.FrozenLayer

update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.FrozenLayer

update(Gradient) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder

update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder

update(MultiLayerNetwork) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork

Assigns the parameters of this model to the ones specified by this network.

update(INDArray, String) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork

update(Gradient) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork

update(ComputationGraph, Gradient, int, int) - Method in class org.deeplearning4j.nn.updater.graph.ComputationGraphUpdater

Update the gradients for the given ComputationGraph

update(Layer, Gradient, int, int) - Method in class org.deeplearning4j.nn.updater.LayerUpdater

update(Layer, Gradient, int, int) - Method in class org.deeplearning4j.nn.updater.MultiLayerUpdater

update(Gradient) - Method in class org.deeplearning4j.plot.BarnesHutTsne

update(INDArray, String) - Method in class org.deeplearning4j.plot.BarnesHutTsne

updateAndReturnAccumulatorVal(JavaRDD<List<String>>) - Method in class org.deeplearning4j.spark.text.functions.TextPipeline

updateBuilder(ComputationGraphConfiguration.GraphBuilder, String, int, int[][], String) - Method in interface org.deeplearning4j.nn.conf.module.GraphBuilderModule

Add a layer to the collection of layers being generated by this module.

UpdateDecoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder

UpdateDecoder.DataSetMetaDataBytesDecoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateDecoder.GcStatsDecoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateDecoder.LayerNamesDecoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateDecoder.MemoryUseDecoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateDecoder.ParamNamesDecoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateDecoder.PerformanceDecoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateDecoder.PerParameterStatsDecoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateEncoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder

UpdateEncoder.DataSetMetaDataBytesEncoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateEncoder.GcStatsEncoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateEncoder.LayerNamesEncoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateEncoder.MemoryUseEncoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateEncoder.ParamNamesEncoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateEncoder.PerformanceEncoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateEncoder.PerParameterStatsEncoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateFieldsPresentDecoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateFieldsPresentDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder

UpdateFieldsPresentEncoder - Class in org.deeplearning4j.ui.stats.sbe

UpdateFieldsPresentEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder

updateGradientAccordingToParams(Gradient, Model, int) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer

Update the gradient according to the configuration such as adagrad, momentum, and sparsity

updateGradientAccordingToParams(Gradient, Model, int) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer

updateHuffmanCodes() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder

build binary tree ordered by counter.

updateModel(Model) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer

updateModel(Model) - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

updateModel(Model) - Method in interface org.deeplearning4j.parallelism.trainer.Trainer

Update the current Model for the worker

Updater - Interface in org.deeplearning4j.nn.api

Update the model

updater(Updater) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder

Gradient updater.

updater - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder

updater(Updater) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder

Gradient updater.

updater - Variable in class org.deeplearning4j.nn.conf.layers.Layer

updater - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder

updater(Updater) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder

Gradient updater.

Updater - Enum in org.deeplearning4j.nn.conf

All the possible different updaters

updater - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration

updater - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer

UPDATER_BIN - Static variable in class org.deeplearning4j.util.ModelSerializer

UpdaterCreator - Class in org.deeplearning4j.nn.updater

updaterForVariable - Variable in class org.deeplearning4j.nn.updater.LayerUpdater

updateRnnStateWithTBPTTState() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork

updaterValidation(String, Layer, Double, Map<Integer, Double>, Double, Double, Double, Double, Double) - Static method in class org.deeplearning4j.nn.conf.layers.LayerValidation

Validate the updater configuration - setting the default updater values, if necessary

updaterValidation(String, Layer, double, Map<Integer, Double>, double, double, double, double, double) - Static method in class org.deeplearning4j.nn.conf.layers.LayerValidation

Validate the updater configuration - setting the default updater values, if necessary

updates - Variable in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage

updateTypeClass() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder

updateTypeClass(String) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder

updateTypeClassCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder

updateTypeClassCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder

updateTypeClassHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder

updateTypeClassHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder

updateTypeClassId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder

updateTypeClassId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder

updateTypeClassLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder

updateTypeClassMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder

updateTypeClassMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder

UpdateWordFreqAccumulatorFunction - Class in org.deeplearning4j.spark.text.functions

UpdateWordFreqAccumulatorFunction(Broadcast<List<String>>, Accumulator<Counter<String>>) - Constructor for class org.deeplearning4j.spark.text.functions.UpdateWordFreqAccumulatorFunction

updateWordsOccurencies() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache

updateWordsOccurencies() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache

Deprecated.

updateWordsOccurencies() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache

Updates counters

upload(File, String) - Method in class org.deeplearning4j.aws.s3.uploader.S3Uploader

Upload the file to the bucket.

upload(File, String, String) - Method in class org.deeplearning4j.aws.s3.uploader.S3Uploader

uploadAndRun(String, String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner

uploadFileList(String, File, List<File>, String) - Method in class org.deeplearning4j.aws.s3.uploader.S3Uploader

uploadFolder(String, String, File, boolean) - Method in class org.deeplearning4j.aws.s3.uploader.S3Uploader

uploadForDeployment(String, String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner

Creates the directory for the file if necessary and uploads the file

uri() - Method in class org.deeplearning4j.streaming.kafka.KafkaUriBuilder

uriToString(URI[]) - Static method in class org.deeplearning4j.util.StringUtils

useAbsolutePathAsLabel(boolean) - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder

useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder

useAdaGrad(boolean) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder

useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable

useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW

useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram

useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW

useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM

useAdaGrad(boolean) - Method in class org.deeplearning4j.models.glove.Glove.Builder

useAdaGrad(boolean) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder

Deprecated.

useAdaGrad(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder

Deprecated.

useAdaGrad(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder

This method defines whether adaptive gradients should be used or not

useAdaGrad - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder

useAdaGrad(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder

Deprecated.

useAdaGrad(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder

This method defines whether adaptive gradients should be used or not

useAdaGrad(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder

Defines, if adaptive gradients should be created during vocabulary mastering

useAdaGrad(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder

useAdaGrad - Variable in class org.deeplearning4j.plot.BarnesHutTsne

useAdaGrad - Variable in class org.deeplearning4j.plot.Tsne.Builder

useAdaGrad(boolean) - Method in class org.deeplearning4j.plot.Tsne.Builder

useAdaGrad - Variable in class org.deeplearning4j.plot.Tsne

useAdaGrad(boolean) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder

useAdaGrad - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder

useAdaGrad(boolean) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder

This method specifies, if adaptive gradients should be used during model training

useAdaGrad(boolean) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder

Deprecated.

useAdeGrad - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl

useCNN - Variable in class org.deeplearning4j.nn.conf.layers.setup.ConvolutionLayerSetup

Deprecated.

useCurrent - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator

useDropConnect - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder

useDropConnect(boolean) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder

Use drop connect: multiply the weight by a binomial sampling wrt the dropout probability.

useDropConnect - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration

useDropConnect - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration

useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.glove.Glove.Builder

This method has no effect for GloVe

useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder

Deprecated.

useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder

This method allows you to use pre-built WordVectors model (Word2Vec or GloVe) for ParagraphVectors.

useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder

This method allows you to use pre-built WordVectors model (SkipGram or GloVe) for DBOW sequence learning.

useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder

This method has no effect for Word2Vec

useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder

useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder

Deprecated.

useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder

useHierarchicSoftmax - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder

useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder

Enable/disable hierarchic softmax

useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder

useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder

useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder

useHS - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder

useHS - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable

useLegacyAveraging(boolean) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

If set to true, legacy averaging method is used.

useMDS(boolean) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder

useMDS - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

useMQ(boolean) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder

This method enables/disable MagicQueue use If set to true, all datasets will be spread among all available devices at prefetch phase using AsyncDataSetIterator PLEASE NOTE: This is experimental feature.

useNormalizedWordVectors(boolean) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder

Whether normalized word vectors should be used.

usePca - Variable in class org.deeplearning4j.plot.BarnesHutTsne

usePca - Variable in class org.deeplearning4j.plot.Tsne.Builder

usePca(boolean) - Method in class org.deeplearning4j.plot.Tsne.Builder

usePca - Variable in class org.deeplearning4j.plot.Tsne

usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder

Deprecated.

usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder

usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder

If set to true, initial weights for elements/sequences will be derived from elements themself.

usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder

UserDictionary - Class in com.atilika.kuromoji.dict

UserDictionary(InputStream, int, int, int) - Constructor for class com.atilika.kuromoji.dict.UserDictionary

userDictionary - Variable in class com.atilika.kuromoji.TokenizerBase.Builder

userDictionary(InputStream) - Method in class com.atilika.kuromoji.TokenizerBase.Builder

Sets an optional user dictionary as an input stream

userDictionary(String) - Method in class com.atilika.kuromoji.TokenizerBase.Builder

Sets an optional user dictionary filename

UserDictionary.UserDictionaryMatch - Class in com.atilika.kuromoji.dict

UserDictionaryMatch(int, int, int) - Constructor for class com.atilika.kuromoji.dict.UserDictionary.UserDictionaryMatch

UserDictionaryTest - Class in com.atilika.kuromoji.dict

UserDictionaryTest() - Constructor for class com.atilika.kuromoji.dict.UserDictionaryTest

UserDictionaryTokenizerTest - Class in com.atilika.kuromoji.ipadic

UserDictionaryTokenizerTest() - Constructor for class com.atilika.kuromoji.ipadic.UserDictionaryTokenizerTest

useRegularization - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder

useRegularization - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration

useRegularization - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration

useSpecialPreProcessCifar - Static variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator

usesRegularization() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer

Indicates whether layer uses regularization.

useTruncatedBPTT - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel

useUnk - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder

useUnknown - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl

useUnknown(boolean) - Method in class org.deeplearning4j.models.glove.Glove.Builder

This method allows you to specify, if UNK word should be used internally

useUnknown(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder

Deprecated.

useUnknown(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder

This method allows you to specify, if UNK word should be used internally

useUnknown - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder

useUnknown(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder

This method allows you to specify, if UNK word should be used internally

useUnknown(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder

This method allows you to specify, if UNK word should be used internally

useUnknown(boolean) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder

Specifies, if UNK word should be used instead of words that are absent in vocab

useVariableWindow(int...) - Method in class org.deeplearning4j.models.glove.Glove.Builder

This method has no effect for ParagraphVectors

useVariableWindow(int...) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder

Deprecated.

useVariableWindow(int...) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder

This method has no effect for ParagraphVectors

useVariableWindow(int...) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder

This method allows to use variable window size.

useVariableWindow(int...) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder

This method allows to use variable window size.

useWriteAheadLog(boolean) - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage.Builder

UTF8 - Static variable in class org.deeplearning4j.ui.stats.impl.SbeUtil

Util - Class in org.deeplearning4j.text.movingwindow

Utils - Class in org.deeplearning4j.ui.api

uuid - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer

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