- I18N - Interface in org.deeplearning4j.ui.api
-
Interface to handle user interface internationalization.
- I18NProvider - Class in org.deeplearning4j.ui.i18n
-
Returns the currently used I18N (Internationalization) class
- I18NProvider() - Constructor for class org.deeplearning4j.ui.i18n.I18NProvider
-
- I18NRoute - Class in org.deeplearning4j.ui.play.staticroutes
-
Route for global internationalization setting
- I18NRoute() - Constructor for class org.deeplearning4j.ui.play.staticroutes.I18NRoute
-
- ia - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
-
- id - Variable in class org.deeplearning4j.ui.standalone.ComponentObject
-
- IdentityHashMapFactory() - Constructor for class org.deeplearning4j.berkeley.MapFactory.IdentityHashMapFactory
-
- idf(double, double) - Static method in class org.deeplearning4j.util.MathUtils
-
Inverse document frequency: the total docs divided by the number of times the word
appeared in a document
- idxCounter - Variable in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
-
- IEarlyStoppingTrainer<T extends Model> - Interface in org.deeplearning4j.earlystopping.trainer
-
Interface for early stopping trainers
- IEvaluateFlatMapFunction<T extends IEvaluation> - Class in org.deeplearning4j.spark.impl.multilayer.evaluation
-
Function to evaluate data (using an IEvaluation instance), in a distributed manner
Flat map function used to batch examples for computational efficiency + reduce number of IEvaluation objects returned
for network efficiency.
- IEvaluateFlatMapFunction(Broadcast<String>, Broadcast<INDArray>, int, T) - Constructor for class org.deeplearning4j.spark.impl.multilayer.evaluation.IEvaluateFlatMapFunction
-
- IEvaluation<T extends IEvaluation> - Interface in org.deeplearning4j.eval
-
- IEvaluationReduceFunction<T extends IEvaluation> - Class in org.deeplearning4j.spark.impl.multilayer.evaluation
-
- IEvaluationReduceFunction() - Constructor for class org.deeplearning4j.spark.impl.multilayer.evaluation.IEvaluationReduceFunction
-
- IGraph<V,E> - Interface in org.deeplearning4j.graph.api
-
Interface for a IGraph, with objects for each vertex and edge.
- IGraph<V extends SequenceElement,E extends java.lang.Number> - Interface in org.deeplearning4j.models.sequencevectors.graph.primitives
-
Interface for a IGraph, with objects for each vertex and edge.
- ImageNetLabels - Class in org.deeplearning4j.nn.modelimport.keras.trainedmodels.Utils
-
Helper class with a static method that returns the label description
- ImageNetLabels() - Constructor for class org.deeplearning4j.nn.modelimport.keras.trainedmodels.Utils.ImageNetLabels
-
- imageTransform - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
-
- importFunctionalApiConfig(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.ModelConfiguration
-
- importFunctionalApiConfigFromFile(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.ModelConfiguration
-
- importFunctionalApiConfigFromInputStream(InputStream) - Static method in class org.deeplearning4j.nn.modelimport.keras.ModelConfiguration
-
Deprecated.
- importFunctionalApiModel(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.Model
-
- importFunctionalApiModel(String, String) - Static method in class org.deeplearning4j.nn.modelimport.keras.Model
-
- importFunctionalApiModelInputStream(InputStream) - Static method in class org.deeplearning4j.nn.modelimport.keras.Model
-
- importKerasConvnetTensorflowConfigTest() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasModelConfigurationTest
-
- importKerasConvnetTheanoConfigTest() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasModelConfigurationTest
-
- importKerasLstmFixedLenConfigTest() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasModelConfigurationTest
-
- importKerasMlpModelConfigTest() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasModelConfigurationTest
-
- importKerasMlpModelMultilossConfigTest() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasModelConfigurationTest
-
- importKerasMlpSequentialConfigTest() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasModelConfigurationTest
-
- importKerasModelAndWeights(InputStream, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras (Functional API) Model saved using model.save_model(...).
- importKerasModelAndWeights(InputStream) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras (Functional API) Model saved using model.save_model(...).
- importKerasModelAndWeights(String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras (Functional API) Model saved using model.save_model(...).
- importKerasModelAndWeights(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras (Functional API) Model saved using model.save_model(...).
- importKerasModelAndWeights(String, String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras (Functional API) Model for which the configuration and weights were
saved separately using calls to model.to_json() and model.save_weights(...).
- importKerasModelAndWeights(String, String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras (Functional API) Model for which the configuration and weights were
saved separately using calls to model.to_json() and model.save_weights(...).
- importKerasModelConfiguration(String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras (Functional API) Model for which the configuration was saved
separately using calls to model.to_json() and model.save_weights(...).
- importKerasModelConfiguration(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras (Functional API) Model for which the configuration was saved
separately using calls to model.to_json() and model.save_weights(...).
- importKerasSequentialConfiguration(String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras Sequential model for which the configuration was saved
separately using calls to model.to_json() and model.save_weights(...).
- importKerasSequentialConfiguration(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras Sequential model for which the configuration was saved
separately using calls to model.to_json() and model.save_weights(...).
- importKerasSequentialModelAndWeights(InputStream, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras Sequential model saved using model.save_model(...).
- importKerasSequentialModelAndWeights(InputStream) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras Sequential model saved using model.save_model(...).
- importKerasSequentialModelAndWeights(String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras Sequential model saved using model.save_model(...).
- importKerasSequentialModelAndWeights(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras Sequential model saved using model.save_model(...).
- importKerasSequentialModelAndWeights(String, String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras Sequential model for which the configuration and weights were
saved separately using calls to model.to_json() and model.save_weights(...).
- importKerasSequentialModelAndWeights(String, String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
-
Load Keras Sequential model for which the configuration and weights were
saved separately using calls to model.to_json() and model.save_weights(...).
- importMnistCnnTensorFlowConfigurationTest() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasModelConfigurationTest
-
- importMnistMlpTensorFlowEndToEndModelTest() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasModelEndToEndTest
-
- importModel(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.Model
-
- importModel(String, String) - Static method in class org.deeplearning4j.nn.modelimport.keras.Model
-
- importModelInputStream(InputStream) - Static method in class org.deeplearning4j.nn.modelimport.keras.Model
-
- importSequentialModel(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.Model
-
- importSequentialModel(String, String) - Static method in class org.deeplearning4j.nn.modelimport.keras.Model
-
- importSequentialModelConfig(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.ModelConfiguration
-
- importSequentialModelConfigFromFile(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.ModelConfiguration
-
- importSequentialModelConfigFromInputStream(InputStream) - Static method in class org.deeplearning4j.nn.modelimport.keras.ModelConfiguration
-
Deprecated.
- importSequentialModelInputStream(InputStream) - Static method in class org.deeplearning4j.nn.modelimport.keras.Model
-
- importVocabulary(VocabCache<T>) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
This method imports all elements from VocabCache passed as argument
If element already exists,
- importVocabulary(VocabCache<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
- importVocabulary(VocabCache<T>) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
imports vocabulary
- inboundLayerNames - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- inComplete() - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayerSetupTest
-
- incompleteLFW() - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayerSetupTest
-
- incompleteLRN() - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayerSetupTest
-
- incompleteMnistLenet() - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayerSetupTest
-
- increaseElementFrequency(int) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
-
Increases element frequency counter by argument
- increment() - Method in class org.deeplearning4j.models.word2vec.VocabWork
-
- incrementAll(Collection<? extends E>, double) - Method in class org.deeplearning4j.berkeley.Counter
-
Increment each element in a given collection by a given amount.
- incrementAll(Counter<T>) - Method in class org.deeplearning4j.berkeley.Counter
-
- incrementAll(Map<K, V>, double) - Method in class org.deeplearning4j.berkeley.CounterMap
-
- incrementAll(CounterMap<K, V>) - Method in class org.deeplearning4j.berkeley.CounterMap
-
- incrementAll(Counter<T>) - Method in class org.deeplearning4j.spark.models.sequencevectors.primitives.ExtraCounter
-
- incrementCount(E, double) - Method in class org.deeplearning4j.berkeley.Counter
-
Increment a key's count by the given amount.
- incrementCount(K, V, double) - Method in class org.deeplearning4j.berkeley.CounterMap
-
Increments the count for a particular (key, value) pair.
- incrementCount(T, T, double) - Method in class org.deeplearning4j.models.glove.count.CountMap
-
- incrementCount() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
-
- incrementDocCount(String, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
Increment number of documents the label was observed in
Please note: this method is NOT thread-safe
- incrementDocCount(String, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
- incrementDocCount(String, long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Increment the document count
- incrementElementFrequency() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
-
Increases element frequency counter by 1
- incrementFalseNegatives(Integer) - Method in class org.deeplearning4j.eval.Evaluation
-
- incrementFalsePositive(long) - Method in class org.deeplearning4j.eval.ROC.CountsForThreshold
-
- incrementFalsePositive(int[]) - Method in class org.deeplearning4j.eval.ROCBinary.CountsForThreshold
-
- incrementFalsePositive(long[]) - Method in class org.deeplearning4j.eval.ROCBinary.CountsForThreshold
-
- incrementFalsePositive(long, int) - Method in class org.deeplearning4j.eval.ROCBinary.CountsForThreshold
-
- incrementFalsePositives(Integer) - Method in class org.deeplearning4j.eval.Evaluation
-
- incrementIteration() - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
-
- incrementIterationCount(Model, int) - Static method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
-
- incrementRetentionStep() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
-
- incrementSequencesCount() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
-
Increments document count by one
- incrementSequencesCount(long) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
-
Increments document count by specified value
- incrementTotalDocCount() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
Increment total number of documents observed by 1
- incrementTotalDocCount(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
Increment total number of documents observed by specified value
- incrementTotalDocCount() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
- incrementTotalDocCount(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
- incrementTotalDocCount() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Increment the doc count
- incrementTotalDocCount(long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Increment the doc count
- incrementTrueNegatives(Integer) - Method in class org.deeplearning4j.eval.Evaluation
-
- incrementTruePositive(long) - Method in class org.deeplearning4j.eval.ROC.CountsForThreshold
-
- incrementTruePositive(int[]) - Method in class org.deeplearning4j.eval.ROCBinary.CountsForThreshold
-
- incrementTruePositive(long[]) - Method in class org.deeplearning4j.eval.ROCBinary.CountsForThreshold
-
- incrementTruePositive(long, int) - Method in class org.deeplearning4j.eval.ROCBinary.CountsForThreshold
-
- incrementTruePositives(Integer) - Method in class org.deeplearning4j.eval.Evaluation
-
- incrementWordCount(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
Increment frequency for specified label by 1
- incrementWordCount(String, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
Increment frequency for specified label by specified value
- incrementWordCount(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
Increment the count for the given word
- incrementWordCount(String, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
Increment the count for the given word by
the amount increment
- incrementWordCount(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Increment the count for the given word
- incrementWordCount(String, int) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Increment the count for the given word by
the amount increment
- incrementWordCounter(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
-
Increments by one number of occurencies of the word in corpus
- INDArrayDataSetIterator - Class in org.deeplearning4j.datasets.iterator
-
- INDArrayDataSetIterator(Iterable<Pair<INDArray, INDArray>>, int) - Constructor for class org.deeplearning4j.datasets.iterator.INDArrayDataSetIterator
-
- index - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
-
- index - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
-
Deprecated.
- index(InvertedIndex) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
-
Deprecated.
- index(InvertedIndex<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
- index - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
-
- index(InvertedIndex<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
Deprecated.
- index - Variable in class org.deeplearning4j.nn.layers.BaseLayer
-
- index - Variable in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
-
- index - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- Index - Class in org.deeplearning4j.util
-
An index is a transform of objects augmented with a list and a reverse lookup table
for fast lookups.
- Index() - Constructor for class org.deeplearning4j.util.Index
-
- indexOf(String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
-
- indexOf(String) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
- indexOf(String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
-
- indexOf(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
Returns Huffman index for specified label
- indexOf(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
Returns the index of a given word
- indexOf(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Returns the index of a given word
- indexOf(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
-
This method returns index of word in sorted list.
- indexOf(String) - Method in class org.deeplearning4j.text.documentiterator.LabelsSource
-
- indexOf(Object) - Method in class org.deeplearning4j.util.Index
-
- InferenceCallable(VocabCache<VocabWord>, TokenizerFactory, LabelledDocument) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.InferenceCallable
-
- InferenceCallable(VocabCache<VocabWord>, TokenizerFactory, LabelledDocument, AtomicLong) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.InferenceCallable
-
- inferenceExecutor - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
- inferenceLocker - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
- inferSequence(Sequence<T>, long, double, double, int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
-
This method does training on previously unseen paragraph, and returns inferred vector
- inferSequence(Sequence<T>, long, double, double, int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
-
This method does training on previously unseen paragraph, and returns inferred vector
- inferSequence(Sequence<T>, long, double, double, int) - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
-
This method does training on previously unseen paragraph, and returns inferred vector
- inferSequence(Sequence<ShallowSequenceElement>, long, double, double, int) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
-
- inferVector(Collection<Vertex<V>>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec
-
Deprecated.
- inferVector(String, double, double, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
This method calculates inferred vector for given text
- inferVector(LabelledDocument, double, double, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
This method calculates inferred vector for given document
- inferVector(List<VocabWord>, double, double, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
This method calculates inferred vector for given document
- inferVector(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
This method calculates inferred vector for given text, with default parameters for learning rate and iterations
- inferVector(LabelledDocument) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
This method calculates inferred vector for given document, with default parameters for learning rate and iterations
- inferVector(List<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
This method calculates inferred vector for given list of words, with default parameters for learning rate and iterations
- inferVectorBatched(LabelledDocument) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
This method implements batched inference, based on Java Future parallelism model.
- inferVectorBatched(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
This method implements batched inference, based on Java Future parallelism model.
- inferVectorBatched(List<String>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
This method does inference on a given List<String>
- information(double[]) - Static method in class org.deeplearning4j.util.MathUtils
-
This returns the entropy for a given vector of probabilities.
- informationCollection - Variable in class org.deeplearning4j.spark.models.sequencevectors.utils.NetworkOrganizer
-
- init(WeightLookupTable<T>) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
-
- init(WeightLookupTable<T>) - Method in class org.deeplearning4j.models.embeddings.reader.impl.TreeModelUtils
-
- init(WeightLookupTable<T>) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
-
This method implementations should accept given lookup table, and use them in further calls to interface methods
- init() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImplTest
-
- init - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
-
- init() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
-
Init method validates configuration defined using
- init() - Method in interface org.deeplearning4j.nn.api.Model
-
Init the model
- init(NeuralNetConfiguration, INDArray, boolean) - Method in interface org.deeplearning4j.nn.api.ParamInitializer
-
Initialize the parameters
- init() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
-
Initialize the ComputationGraph network
- init(INDArray, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
-
Initialize the ComputationGraph, optionally with an existing parameters array.
- init() - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
Init the model
- init() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
Init the model
- init() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
Init the model
- init() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
Initialize the MultiLayerNetwork.
- init(INDArray, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
Initialize the MultiLayerNetwork, optionally with an existing parameters array.
- init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
-
- init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.CenterLossParamInitializer
-
- init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
-
- init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
-
- init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.EmptyParamInitializer
-
- init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
-
- init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
-
- init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.PretrainParamInitializer
-
- init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
-
- init() - Method in class org.deeplearning4j.nn.updater.LayerUpdater
-
- init(String, Layer) - Method in class org.deeplearning4j.nn.updater.LayerUpdater
-
- init(Model, Object...) - Method in class org.deeplearning4j.parallelism.factory.DefaultTrainerContext
-
Initialize the context
- init(Model, Object...) - Method in interface org.deeplearning4j.parallelism.factory.TrainerContext
-
Initialize the context
- init(Model, Object...) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainerContext
-
Initialize the context
- init() - Method in class org.deeplearning4j.plot.BarnesHutTsne
-
Init the model
- init() - Method in class org.deeplearning4j.plot.Tsne
-
- init() - Static method in class org.deeplearning4j.streaming.routes.Dl4jServingRouteTest
-
- init() - Method in class org.deeplearning4j.text.treeparser.TreeParserTest
-
- init() - Method in class org.deeplearning4j.text.treeparser.TreeTransformerTests
-
- init() - Method in class org.deeplearning4j.util.ContextLabelTest
-
- INIT_DL4J - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayerTest
-
- INIT_GLOROT_NORMAL - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- INIT_GLOROT_UNIFORM - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- INIT_HE_NORMAL - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- INIT_HE_UNIFORM - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- INIT_IDENTITY - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- INIT_KERAS - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayerTest
-
- INIT_LECUN_UNIFORM - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- INIT_NORMAL - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- INIT_ORTHOGONAL - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- INIT_UNIFORM - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- INIT_ZERO - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- initAdaGrad() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
-
- initCalled - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
-
- initCalled - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- initClusters() - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
-
Initialize the cluster centers at random
- initDone - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- initExpTable() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
-
- initExpTable() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec
-
- InitFieldsPresentDecoder - Class in org.deeplearning4j.ui.stats.sbe
-
- InitFieldsPresentDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
-
- InitFieldsPresentEncoder - Class in org.deeplearning4j.ui.stats.sbe
-
- InitFieldsPresentEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
-
- initGradientsView() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
-
This method: initializes the flattened gradients array (used in backprop) and sets the appropriate subset in all layers.
- initGradientsView() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
This method: initializes the flattened gradients array (used in backprop) and sets the appropriate subset in all layers.
- initHolder(VocabCache<VocabWord>, double[], int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.NegativeHolder
-
- initialClusterCount - Variable in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
-
- initialize(ClusterSet, boolean) - Static method in class org.deeplearning4j.clustering.cluster.info.ClusterSetInfo
-
- initialize() - Method in class org.deeplearning4j.earlystopping.termination.BestScoreEpochTerminationCondition
-
- initialize() - Method in interface org.deeplearning4j.earlystopping.termination.EpochTerminationCondition
-
Initialize the epoch termination condition (often a no-op)
- initialize() - Method in class org.deeplearning4j.earlystopping.termination.InvalidScoreIterationTerminationCondition
-
- initialize() - Method in interface org.deeplearning4j.earlystopping.termination.IterationTerminationCondition
-
Initialize the iteration termination condition (sometimes a no-op)
- initialize() - Method in class org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition
-
- initialize() - Method in class org.deeplearning4j.earlystopping.termination.MaxScoreIterationTerminationCondition
-
- initialize() - Method in class org.deeplearning4j.earlystopping.termination.MaxTimeIterationTerminationCondition
-
- initialize() - Method in class org.deeplearning4j.earlystopping.termination.ScoreImprovementEpochTerminationCondition
-
- initialize(IGraph<V, E>) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
-
Initialize the DeepWalk model with a given graph.
- initialize(int[]) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
-
Initialize the DeepWalk model with a list of vertex degrees for a graph.
Specifically, graphVertexDegrees[i] represents the vertex degree of the ith vertex
vertex degrees are used to construct a binary (Huffman) tree, which is in turn used in
the hierarchical softmax implementation
- initialize() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
-
This method handles required initialization for GraphTransformer
- initialize(DataSet) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
Sets the input and labels from this dataset
- initialize(UimaContext) - Method in class org.deeplearning4j.text.annotator.PoStagger
-
Initializes the current instance with the given context.
- initialize(UimaContext) - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
-
Initializes the current instance with the given context.
- initializeCurrFromList(List<DataSet>) - Method in class org.deeplearning4j.datasets.fetchers.BaseDataFetcher
-
Initializes this data transform fetcher from the passed in datasets
- initializeLayers(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
Base class for initializing the neuralNets based on the input.
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.AutoEncoder
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.DenseLayer
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingLayer
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.GravesLSTM
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.Layer
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.LossLayer
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.OutputLayer
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.RBM
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.RnnOutputLayer
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder
-
- initializer() - Method in class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer
-
- initializer() - Method in class org.deeplearning4j.nn.layers.custom.testclasses.CustomLayer
-
- initializer() - Method in class org.deeplearning4j.nn.layers.custom.testclasses.CustomOutputLayer
-
- initializer() - Method in class org.deeplearning4j.spark.impl.customlayer.layer.CustomLayer
-
- initialMomentum - Variable in class org.deeplearning4j.plot.BarnesHutTsne
-
- initialMomentum - Variable in class org.deeplearning4j.plot.Tsne.Builder
-
- initialMomentum - Variable in class org.deeplearning4j.plot.Tsne
-
- initInference() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
- initLearners() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
-
- initNegative() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
-
- initParams() - Method in interface org.deeplearning4j.nn.api.Model
-
- initParams() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
-
- initParams() - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
- initParams() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- initParams() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- initParams() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- initParams() - Method in class org.deeplearning4j.plot.BarnesHutTsne
-
- initTypeClass() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- initTypeClass(String) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
-
- initTypeClassCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- initTypeClassCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
-
- initTypeClassHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- initTypeClassHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
-
- initTypeClassId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- initTypeClassId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
-
- initTypeClassLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- initTypeClassMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
-
- initTypeClassMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
-
- initWeights(int[], float, float) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
-
- initWeights(double, double, int[], WeightInit, Distribution, INDArray) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
-
Initializes a matrix with the given weight initialization scheme.
- initWeights(double, double, int[], WeightInit, Distribution, char, INDArray) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
-
- inLayerName - Variable in class org.deeplearning4j.nn.conf.layers.setup.ConvolutionLayerSetup
-
Deprecated.
- InMemoryGraphLookupTable - Class in org.deeplearning4j.graph.models.embeddings
-
A standard in-memory implementation of a lookup table for vector representations of the vertices in a graph
- InMemoryGraphLookupTable(int, int, BinaryTree, double) - Constructor for class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
-
- InMemoryLookupCache - Class in org.deeplearning4j.models.word2vec.wordstore.inmemory
-
Deprecated.
- InMemoryLookupCache() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
- InMemoryLookupCache(boolean) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
- InMemoryLookupTable<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.inmemory
-
Default word lookup table
- InMemoryLookupTable() - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
-
- InMemoryLookupTable(VocabCache<T>, int, boolean, double, Random, double, boolean) - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
-
- InMemoryLookupTable(VocabCache<T>, int, boolean, double, Random, double) - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
-
- InMemoryLookupTable.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.inmemory
-
- InMemoryLookupTable.WeightIterator - Class in org.deeplearning4j.models.embeddings.inmemory
-
- InMemoryLookupTableTest - Class in org.deeplearning4j.models.embeddings.inmemory
-
- InMemoryLookupTableTest() - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTableTest
-
- InMemoryModelSaver<T extends Model> - Class in org.deeplearning4j.earlystopping.saver
-
Save the best (and latest) models for early stopping training to memory for later retrieval
Note: Assumes that network is cloneable via .clone() method
- InMemoryModelSaver() - Constructor for class org.deeplearning4j.earlystopping.saver.InMemoryModelSaver
-
- InMemoryStatsStorage - Class in org.deeplearning4j.ui.storage
-
A StatsStorage implementation that stores all data in memory.
- InMemoryStatsStorage() - Constructor for class org.deeplearning4j.ui.storage.InMemoryStatsStorage
-
- InMemoryVocabStoreTests - Class in org.deeplearning4j.wordstore
-
Created by agibsonccc on 8/31/14.
- InMemoryVocabStoreTests() - Constructor for class org.deeplearning4j.wordstore.InMemoryVocabStoreTests
-
- INNER_ACTIVATION_KERAS - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayerTest
-
- input() - Method in interface org.deeplearning4j.nn.api.Model
-
The input/feature matrix for the model
- input() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
-
- input - Variable in class org.deeplearning4j.nn.layers.BaseLayer
-
- input() - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
- input() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- input - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- input() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- input - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- input() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- input() - Method in class org.deeplearning4j.plot.BarnesHutTsne
-
- input - Variable in class org.deeplearning4j.spark.BaseSparkTest
-
- INPUT - Static variable in class org.deeplearning4j.ui.flow.FlowIterationListener
-
Deprecated.
- INPUT - Static variable in class org.deeplearning4j.ui.flow.RemoteFlowIterationListener
-
- INPUT_WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
-
- INPUT_WEIGHT_KEY_BACKWARDS - Static variable in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
-
- INPUT_WEIGHT_KEY_FORWARDS - Static variable in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
-
- inputColumns() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
-
- inputColumns() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
-
- inputColumns - Variable in class org.deeplearning4j.datasets.fetchers.BaseDataFetcher
-
- inputColumns() - Method in class org.deeplearning4j.datasets.fetchers.BaseDataFetcher
-
- inputColumns() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
-
Input columns for the dataset
- inputColumns() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
-
- inputColumns() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
-
- inputColumns() - Method in interface org.deeplearning4j.datasets.iterator.DataSetFetcher
-
Deprecated.
The length of a feature vector for an individual example
- inputColumns() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
-
- inputColumns() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
-
- inputColumns() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
-
- inputColumns() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
-
Input columns for the dataset
- inputColumns() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
-
Input columns for the dataset
- inputColumns() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
-
- inputColumns() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
-
- inputColumns() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
-
- inputColumns() - Method in class org.deeplearning4j.keras.HDF5MiniBatchDataSetIterator
-
- inputColumns() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
-
- inputColumns() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
-
- inputColumns - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
-
- inputColumns() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
-
- inputFormat(String) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
-
- InputHomogenization - Class in org.deeplearning4j.text.inputsanitation
-
Performs some very basic textual transformations
such as word shape, lower casing, and stripping of punctuation
- InputHomogenization(String) - Constructor for class org.deeplearning4j.text.inputsanitation.InputHomogenization
-
Input text to applyTransformToOrigin
- InputHomogenization(String, boolean) - Constructor for class org.deeplearning4j.text.inputsanitation.InputHomogenization
-
- InputHomogenization(String, List<String>) - Constructor for class org.deeplearning4j.text.inputsanitation.InputHomogenization
-
- inputLayerNames - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
-
- inputMaskArray - Variable in class org.deeplearning4j.nn.layers.BaseOutputLayer
-
- inputMaskArrayState - Variable in class org.deeplearning4j.nn.layers.BaseOutputLayer
-
- inputPreProcessor(String, InputPreProcessor) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
-
- InputPreProcessor - Interface in org.deeplearning4j.nn.conf
-
Input pre processor used
for pre processing input before passing it
to the neural network.
- inputPreProcessor(Integer, InputPreProcessor) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
-
Specify the processors.
- inputPreProcessors - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
-
- inputPreProcessors - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
-
- inputPreProcessors(Map<Integer, InputPreProcessor>) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
-
- inputPreProcessors - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
-
- inputs - Variable in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
-
- inputShape - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
- InputSplit - Class in org.deeplearning4j.util
-
- InputStreamCreator - Interface in org.deeplearning4j.models.word2vec
-
Created by agibsonccc on 10/19/14.
- inputStreamFromPath(String) - Static method in class org.deeplearning4j.util.DeepLearningIOUtil
-
- InputType - Class in org.deeplearning4j.nn.conf.inputs
-
The InputType class is used to track and define the types of activations etc used in a ComputationGraph.
- InputType() - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType
-
- inputType - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
-
- InputType.InputTypeConvolutional - Class in org.deeplearning4j.nn.conf.inputs
-
- InputType.InputTypeConvolutionalFlat - Class in org.deeplearning4j.nn.conf.inputs
-
- InputType.InputTypeFeedForward - Class in org.deeplearning4j.nn.conf.inputs
-
- InputType.InputTypeRecurrent - Class in org.deeplearning4j.nn.conf.inputs
-
- InputType.Type - Enum in org.deeplearning4j.nn.conf.inputs
-
The type of activations in/out of a given GraphVertex
FF: Standard feed-foward (2d minibatch, 1d per example) data
RNN: Recurrent neural network (3d minibatch) time series data
CNN: Convolutional neural n
- InputTypeConvolutional() - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional
-
- InputTypeConvolutionalFlat() - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutionalFlat
-
- InputTypeFeedForward() - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeFeedForward
-
- InputTypeRecurrent() - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeRecurrent
-
- InputTypeUtil - Class in org.deeplearning4j.nn.conf.layers
-
Utilities for calculating input types
- InputTypeUtil() - Constructor for class org.deeplearning4j.nn.conf.layers.InputTypeUtil
-
- inputUri(String) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
-
- inputUris - Variable in class org.deeplearning4j.BasePipeline
-
- inputUris() - Method in class org.deeplearning4j.BasePipeline
-
- inputUris() - Method in interface org.deeplearning4j.Pipeline
-
Origin data
- inputUris() - Method in class org.deeplearning4j.StreamingPipeline
-
- InputVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
-
An InputVertex simply defines the location (and connection structure) of inputs to the ComputationGraph.
- InputVertex(ComputationGraph, String, int, VertexIndices[]) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
-
- inputVertices - Variable in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
-
A representation of the vertices that are inputs to this vertex (inputs during forward pass)
Specifically, if inputVertices[X].getVertexIndex() = Y, and inputVertices[X].getVertexEdgeNumber() = Z
then the Zth output of vertex Y is the Xth input to this vertex
- insert(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.KDTree
-
Insert a point in to the tree
- insert(int) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
-
Insert an index of the data in to the tree
- InsertedDictionary - Class in com.atilika.kuromoji.dict
-
- InsertedDictionary(int) - Constructor for class com.atilika.kuromoji.dict.InsertedDictionary
-
- insertedDictionary - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
-
- InsertedDictionaryTest - Class in com.atilika.kuromoji.dict
-
- InsertedDictionaryTest() - Constructor for class com.atilika.kuromoji.dict.InsertedDictionaryTest
-
- instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfigurationTest.StaticInnerGraphVertex
-
- instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
-
- instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.GraphVertex
-
Create a
GraphVertex instance, for the given computation graph,
given the configuration instance.
- instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
-
- instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.L2Vertex
-
- instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
-
- instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
-
- instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
-
- instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
-
- instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
-
- instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.ScaleVertex
-
- instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
-
- instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.SubsetVertex
-
- instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.UnstackVertex
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.AutoEncoder
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Convolution1DLayer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.DenseLayer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingLayer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.GravesLSTM
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Layer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.LossLayer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.OutputLayer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.RBM
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.RnnOutputLayer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer
-
- instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.misc.TestGraphVertex
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.custom.testclasses.CustomLayer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.custom.testclasses.CustomOutputLayer
-
- instantiate(NeuralNetConfiguration, Collection<IterationListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.spark.impl.customlayer.layer.CustomLayer
-
- instantiateTokenizerFactory() - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.BaseTokenizerFunction
-
- IntDoubleReduceFunction - Class in org.deeplearning4j.spark.impl.common.reduce
-
Add both elements of a Tuple2<Integer,Double>
- IntDoubleReduceFunction() - Constructor for class org.deeplearning4j.spark.impl.common.reduce.IntDoubleReduceFunction
-
- IntegerArrayIO - Class in com.atilika.kuromoji.io
-
- IntegerArrayIO() - Constructor for class com.atilika.kuromoji.io.IntegerArrayIO
-
- IntegerVertexFactory - Class in org.deeplearning4j.graph.vertexfactory
-
- IntegerVertexFactory() - Constructor for class org.deeplearning4j.graph.vertexfactory.IntegerVertexFactory
-
- interleavedCounter - Variable in class org.deeplearning4j.parallelism.MagicQueue
-
- interleavedPutter - Variable in class org.deeplearning4j.parallelism.MagicQueue
-
- intersection(Collection<T>, Collection<T>) - Static method in class org.deeplearning4j.util.SetUtils
-
- intersectionP(Set<? extends T>, Set<? extends T>) - Static method in class org.deeplearning4j.util.SetUtils
-
- Interval(double, double) - Constructor for class org.deeplearning4j.clustering.kdtree.HyperRect.Interval
-
- intializeConfigurations() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- IntPartitioner - Class in org.deeplearning4j.spark.data.shuffle
-
A very simple partitioner that assumes integer keys.
- IntPartitioner() - Constructor for class org.deeplearning4j.spark.data.shuffle.IntPartitioner
-
- intPow(int, int) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
exponentiation like we learned in grade school: multiply b by itself e
times.
- intPow(float, int) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
exponentiation like we learned in grade school: multiply b by itself e
times.
- intPow(double, int) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
exponentiation like we learned in grade school: multiply b by itself e
times.
- InvalidInputTypeException - Exception in org.deeplearning4j.nn.conf.inputs
-
InvalidInputTypeException: Thrown if the GraphVertex cannot handle the type of input provided.
- InvalidInputTypeException(String) - Constructor for exception org.deeplearning4j.nn.conf.inputs.InvalidInputTypeException
-
- InvalidInputTypeException(String, Throwable) - Constructor for exception org.deeplearning4j.nn.conf.inputs.InvalidInputTypeException
-
- InvalidInputTypeException(Throwable) - Constructor for exception org.deeplearning4j.nn.conf.inputs.InvalidInputTypeException
-
- InvalidKerasConfigurationException - Exception in org.deeplearning4j.nn.modelimport.keras
-
Indicates that user is attempting to import a Keras model configuration that
is malformed or invalid in some other way.
- InvalidKerasConfigurationException(String) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.InvalidKerasConfigurationException
-
- InvalidKerasConfigurationException(String, Throwable) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.InvalidKerasConfigurationException
-
- InvalidKerasConfigurationException(Throwable) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.InvalidKerasConfigurationException
-
- InvalidScoreIterationTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
-
Terminate training at this iteration if score is NaN or Infinite for the last minibatch
- InvalidScoreIterationTerminationCondition() - Constructor for class org.deeplearning4j.earlystopping.termination.InvalidScoreIterationTerminationCondition
-
- InvalidStepException - Exception in org.deeplearning4j.exception
-
Created by agibsonccc on 8/20/14.
- InvalidStepException(String) - Constructor for exception org.deeplearning4j.exception.InvalidStepException
-
Constructs a new exception with the specified detail message.
- InvalidStepException(String, Throwable) - Constructor for exception org.deeplearning4j.exception.InvalidStepException
-
Constructs a new exception with the specified detail message and
cause.
- InvalidStepException(Throwable) - Constructor for exception org.deeplearning4j.exception.InvalidStepException
-
Constructs a new exception with the specified cause and a detail
message of (cause==null ? null : cause.toString()) (which
typically contains the class and detail message of cause).
- InvalidStepException(String, Throwable, boolean, boolean) - Constructor for exception org.deeplearning4j.exception.InvalidStepException
-
Constructs a new exception with the specified detail message,
cause, suppression enabled or disabled, and writable stack
trace enabled or disabled.
- inverse(RBM.HiddenUnit) - Static method in class org.deeplearning4j.util.RBMUtil
-
- inverse(RBM.VisibleUnit) - Static method in class org.deeplearning4j.util.RBMUtil
-
- invert() - Method in class com.atilika.kuromoji.buffer.FeatureInfoMap
-
- invert() - Method in class org.deeplearning4j.berkeley.CounterMap
-
Constructs reverse CounterMap where the count of a pair (k,v)
is the count of (v,k) in the current CounterMap
- invertDistanceMetric(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
-
- InvertedIndex<T extends SequenceElement> - Interface in org.deeplearning4j.text.invertedindex
-
An inverted index for mapping words to documents
and documents to words
- INVOKE - Static variable in class com.atilika.kuromoji.dict.CharacterDefinitions
-
- invoke() - Method in interface org.deeplearning4j.optimize.api.IterationListener
-
Change invoke to true
- invoke() - Method in class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener
-
- invoke() - Method in class org.deeplearning4j.optimize.listeners.ComposableIterationListener
-
- invoke() - Method in class org.deeplearning4j.optimize.listeners.ParamAndGradientIterationListener
-
- invoke() - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener
-
- invoke() - Method in class org.deeplearning4j.optimize.listeners.ScoreIterationListener
-
- invoke() - Method in class org.deeplearning4j.optimizer.listener.AssertWeightsDifferentIerationListener
-
- invoke() - Method in class org.deeplearning4j.ui.flow.FlowIterationListener
-
Deprecated.
Change invoke to true
- invoke() - Method in class org.deeplearning4j.ui.flow.RemoteFlowIterationListener
-
Change invoke to true
- invoke() - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
-
- invoke() - Method in class org.deeplearning4j.ui.weights.ConvolutionalIterationListener
-
Change invoke to true
- invoke() - Method in class org.deeplearning4j.ui.weights.RemoteConvolutionalIterationListener
-
Change invoke to true
- invoke() - Method in class org.deeplearning4j.ui.weights.RemoteHistogramIterationListener
-
- invoked() - Method in interface org.deeplearning4j.optimize.api.IterationListener
-
Get if listener invoked
- invoked() - Method in class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener
-
- invoked() - Method in class org.deeplearning4j.optimize.listeners.ComposableIterationListener
-
- invoked() - Method in class org.deeplearning4j.optimize.listeners.ParamAndGradientIterationListener
-
- invoked() - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener
-
- invoked() - Method in class org.deeplearning4j.optimize.listeners.ScoreIterationListener
-
- invoked() - Method in class org.deeplearning4j.optimizer.listener.AssertWeightsDifferentIerationListener
-
- invoked() - Method in class org.deeplearning4j.ui.flow.FlowIterationListener
-
Deprecated.
Get if listener invoked
- invoked() - Method in class org.deeplearning4j.ui.flow.RemoteFlowIterationListener
-
Get if listener invoked
- invoked() - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
-
- invoked() - Method in class org.deeplearning4j.ui.weights.ConvolutionalIterationListener
-
Get if listener invoked
- invoked() - Method in class org.deeplearning4j.ui.weights.RemoteConvolutionalIterationListener
-
Get if listener invoked
- invoked() - Method in class org.deeplearning4j.ui.weights.RemoteHistogramIterationListener
-
- IOutputLayer - Interface in org.deeplearning4j.nn.api.layers
-
Interface for output layers (those that calculate gradients with respect to a labels array)
- ipAddresses - Variable in class org.deeplearning4j.spark.models.sequencevectors.primitives.NetworkInformation
-
- iris() - Static method in class org.deeplearning4j.datasets.DataSets
-
- iris(int) - Static method in class org.deeplearning4j.datasets.DataSets
-
- IrisDataFetcher - Class in org.deeplearning4j.datasets.fetchers
-
- IrisDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.IrisDataFetcher
-
- IrisDataFetcherTest - Class in org.deeplearning4j.datasets.fetchers
-
- IrisDataFetcherTest() - Constructor for class org.deeplearning4j.datasets.fetchers.IrisDataFetcherTest
-
- IrisDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
-
- IrisDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator
-
IrisDataSetIterator handles
traversing through the Iris Data Set.
- IrisUtils - Class in org.deeplearning4j.base
-
- isAllowEmptyClusters() - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
-
- isAllowEmptyClusters() - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
-
- isAttached(StatsStorage) - Method in class org.deeplearning4j.ui.api.UIServer
-
Check whether the specified StatsStorage instance is attached to the UI instance
- isAttached(StatsStorage) - Method in class org.deeplearning4j.ui.play.PlayUIServer
-
- isAutoDiscoveryMode - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
-
- isBeginLabel() - Method in class org.deeplearning4j.text.movingwindow.Window
-
- isClosed() - Method in interface org.deeplearning4j.api.storage.StatsStorage
-
- isClosed() - Method in class org.deeplearning4j.ui.storage.InMemoryStatsStorage
-
- isClosed() - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
-
- isClosed() - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
-
- isClusteringOptimizationType(ClusteringOptimizationType) - Method in class org.deeplearning4j.clustering.algorithm.strategy.OptimisationStrategy
-
- isCorrect() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
-
Returns whether the tree is consistent or not
- isCorrect() - Method in class org.deeplearning4j.clustering.sptree.SpTree
-
Verifies the structure of the tree (does bounds checking on each node)
- isDangerous(double) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
Returns true if the argument is a "dangerous" double to have around,
namely one that is infinite, NaN or zero.
- isDangerous(float) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
- isDiscreteProb(double, double) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
- isEarlyTerminationHit() - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm
-
- isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
-
- isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
-
Since GloVe is learning representations using elements CoOccurences, all training is done in GloVe class internally, so only first thread will execute learning process,
and the rest of parent threads will just exit learning process
- isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
-
SkipGram has no reasons for early termination ever.
- isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
-
DBOW has no reasons for early termination
- isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
-
- isEarlyTerminationHit() - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
-
- isEarlyTerminationHit() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
-
- isEarlyTerminationHit() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
-
- isEmpty() - Method in class com.atilika.kuromoji.trie.PatriciaTrie
-
Predicate indicating whether this trie is empty
- isEmpty() - Method in class org.deeplearning4j.berkeley.Counter
-
True if there are no entries in the counter (false does not mean
totalCount > 0)
- isEmpty() - Method in class org.deeplearning4j.berkeley.CounterMap
-
True if there are no entries in the CounterMap (false does not mean
totalCount > 0)
- isEmpty() - Method in class org.deeplearning4j.berkeley.PriorityQueue
-
- isEmpty() - Method in interface org.deeplearning4j.berkeley.PriorityQueueInterface
-
True if the queue is empty (size == 0).
- isEmpty() - Method in class org.deeplearning4j.clustering.cluster.Cluster
-
- isEmpty() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
-
Checks, if sequence is empty
- isEmpty() - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
-
- isEmpty() - Method in class org.deeplearning4j.parallelism.MagicQueue
-
- isEmpty() - Method in class org.deeplearning4j.streaming.embedded.StringOption
-
- isEmpty() - Method in class org.deeplearning4j.util.DiskBasedQueue
-
- isEmpty() - Method in class org.deeplearning4j.util.MultiDimensionalMap
-
Returns true if this map contains no key-value mappings.
- isEmpty() - Method in class org.deeplearning4j.util.MultiDimensionalSet
-
Returns true if this applyTransformToDestination contains no elements.
- isEnabled() - Method in class org.deeplearning4j.ui.module.remote.RemoteReceiverModule
-
- isEndLabel() - Method in class org.deeplearning4j.text.movingwindow.Window
-
- isEnvironmentReady - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
-
- isEqualTo(Counter<E>) - Method in class org.deeplearning4j.berkeley.Counter
-
- isEqualTo(CounterMap<K, V>) - Method in class org.deeplearning4j.berkeley.CounterMap
-
- isGraphNetwork - Variable in class org.deeplearning4j.spark.api.WorkerConfiguration
-
- isGreater(double, double) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
- isInitCalled() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- isInputPreProcessor() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
Whether this Keras layer maps to a DL4J InputPreProcessor.
- isInputPreProcessor() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.KerasFlatten
-
Whether this Keras layer maps to a DL4J InputPreProcessor.
- isInputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
-
- isInputVertex() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
-
Whether the GraphVertex is an input vertex
- isInputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
-
- isInvert() - Method in class org.deeplearning4j.plot.BarnesHutTsne
-
- isKnown() - Method in class com.atilika.kuromoji.TokenBase
-
Predicate indicating whether this token is known (contained in the standard dictionary)
- isLabel - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
-
- isLabel() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
-
Returns whether this element was defined as label, or no
- isLabelEnabled() - Method in interface org.deeplearning4j.models.sequencevectors.graph.walkers.GraphWalker
-
- isLabelEnabled() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
-
- isLabelEnabled() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
-
- isLabelEnabled() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
-
- isLabelEnabled() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker
-
- isLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
Whether this Keras layer maps to a DL4J Layer.
- isLeaf() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
-
- isLeaf() - Method in class org.deeplearning4j.clustering.sptree.SpTree
-
- isLeaf() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
-
Returns whether the node has any children or not
- isMinibatch - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
-
- isMinibatch - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization
-
- isMQ - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
-
- isMQ - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
-
- isNewLocation() - Method in class org.deeplearning4j.clustering.cluster.PointClassification
-
- isOptimizationApplicableNow(IterationHistory) - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
-
- isOptimizationApplicableNow(IterationHistory) - Method in class org.deeplearning4j.clustering.algorithm.strategy.FixedClusterCountStrategy
-
- isOptimizationApplicableNow(IterationHistory) - Method in class org.deeplearning4j.clustering.algorithm.strategy.OptimisationStrategy
-
- isOptimizationDefined() - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
-
- isOptimizationDefined() - Method in class org.deeplearning4j.clustering.algorithm.strategy.FixedClusterCountStrategy
-
- isOptimizationDefined() - Method in class org.deeplearning4j.clustering.algorithm.strategy.OptimisationStrategy
-
- isOutputVertex() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
-
Whether the GraphVertex is an output vertex
- isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
-
- isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
-
- isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
-
- isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
-
- isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
-
- isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
-
- isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
-
- isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
-
- isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
-
- isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
-
- isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
-
- isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
-
- isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
-
- isParallel - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
-
- isParallel - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
-
- isParallel - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
-
- isPartOfSpeechFeature(int) - Method in class com.atilika.kuromoji.buffer.TokenInfoBuffer
-
- isPreTerminal() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
-
Node has one child that is a leaf
- isPretrainLayer() - Method in interface org.deeplearning4j.nn.api.Layer
-
Returns true if the layer can be trained in an unsupervised/pretrain manner (VAE, RBMs etc)
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.ActivationLayer
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.custom.testclasses.CustomLayerImpl
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.DropoutLayer
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.feedforward.dense.DenseLayer
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.feedforward.rbm.RBM
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.LossLayer
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- isPretrainLayer() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- isPretrainLayer() - Method in class org.deeplearning4j.spark.impl.customlayer.layer.CustomLayerImpl
-
- isPretrainParam(String) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- isRemoteListenerEnabled() - Method in class org.deeplearning4j.ui.api.UIServer
-
- isRemoteListenerEnabled() - Method in class org.deeplearning4j.ui.play.PlayUIServer
-
- isRunning() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
-
- isRunning() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer
-
- isSatisfied(IterationHistory) - Method in interface org.deeplearning4j.clustering.algorithm.condition.ClusteringAlgorithmCondition
-
- isSatisfied(IterationHistory) - Method in class org.deeplearning4j.clustering.algorithm.condition.ConvergenceCondition
-
- isSatisfied(IterationHistory) - Method in class org.deeplearning4j.clustering.algorithm.condition.FixedIterationCountCondition
-
- isSatisfied(IterationHistory) - Method in class org.deeplearning4j.clustering.algorithm.condition.VarianceVariationCondition
-
- isSet(int, K) - Method in interface com.atilika.kuromoji.trie.PatriciaTrie.KeyMapper
-
Tests a bit in a key
- isSet(int, String) - Method in class com.atilika.kuromoji.trie.PatriciaTrie.StringKeyMapper
-
- isSplitOnNakaguro(boolean) - Method in class com.atilika.kuromoji.ipadic.Tokenizer.Builder
-
Predictate that splits unknown words on the middle dot character (U+30FB KATAKANA MIDDLE DOT)
- isStem() - Method in class org.deeplearning4j.models.word2vec.VocabWork
-
- isStrategyApplied() - Method in class org.deeplearning4j.clustering.algorithm.iteration.IterationInfo
-
- isStrategyOfType(ClusteringStrategyType) - Method in class org.deeplearning4j.clustering.algorithm.strategy.BaseClusteringStrategy
-
- isStrategyOfType(ClusteringStrategyType) - Method in interface org.deeplearning4j.clustering.algorithm.strategy.ClusteringStrategy
-
- isUseAdaGrad() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
-
- isUseAdaGrad() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
-
- isUseAdaGrad() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
-
Deprecated.
- isUseAdaGrad() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
-
Deprecated.
- isUseDebugger() - Method in class org.deeplearning4j.streaming.routes.Dl4jServingRouteTest
-
- isUser() - Method in class com.atilika.kuromoji.TokenBase
-
Predicate indicating whether this token is included is from the user dictionary
- isValidInboundLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
Indicates whether this layer a valid inbound layer.
- isVertex() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
Whether this Keras layer maps to a DL4J Vertex.
- isVeryDangerous(double) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
Returns true if the argument is a "very dangerous" double to have around,
namely one that is infinite or NaN.
- iter - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
-
- iter - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
-
- iterate(DocumentIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
-
Deprecated.
- iterate(SentenceIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
-
Deprecated.
- iterate(int, int) - Method in interface org.deeplearning4j.graph.models.embeddings.GraphVectorLookupTable
-
Conduct learning given a pair of vertices (in and out)
- iterate(int, int) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
-
- iterate(T, T) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
-
Deprecated.
- iterate(T, T) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
-
Deprecated.
- iterate(SequenceIterator<T>) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
-
- iterate(SequenceIterator<VocabWord>) - Method in class org.deeplearning4j.models.glove.Glove.Builder
-
- iterate(SentenceIterator) - Method in class org.deeplearning4j.models.glove.Glove.Builder
-
- iterate(DocumentIterator) - Method in class org.deeplearning4j.models.glove.Glove.Builder
-
- iterate(SequenceIterator<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
-
Deprecated.
- iterate(LabelAwareDocumentIterator) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
This method used to feed LabelAwareDocumentIterator, that contains training corpus, into ParagraphVectors
- iterate(LabelAwareSentenceIterator) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
This method used to feed LabelAwareSentenceIterator, that contains training corpus, into ParagraphVectors
- iterate(LabelAwareIterator) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
This method used to feed LabelAwareIterator, that contains training corpus, into ParagraphVectors
- iterate(DocumentIterator) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
This method used to feed DocumentIterator, that contains training corpus, into ParagraphVectors
- iterate(SentenceIterator) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
This method used to feed SentenceIterator, that contains training corpus, into ParagraphVectors
- iterate(SequenceIterator<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
This method used to feed SequenceIterator, that contains training corpus, into ParagraphVectors
- iterate(SequenceIterator<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
This method defines SequenceIterator to be used for model building
- iterate(DocumentIterator) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
- iterate(SentenceIterator) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
This method used to feed SentenceIterator, that contains training corpus, into ParagraphVectors
- iterate(SequenceIterator<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
This method used to feed SequenceIterator, that contains training corpus, into ParagraphVectors
- iterate(LabelAwareIterator) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
This method used to feed LabelAwareIterator, that is usually used
- iterate(INDArray) - Method in interface org.deeplearning4j.nn.api.Model
-
Run one iteration
- iterate(INDArray) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
-
- iterate(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
iterate one iteration of the network
- iterate(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
-
- iterate(INDArray) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
-
- iterate(INDArray) - Method in class org.deeplearning4j.nn.layers.feedforward.rbm.RBM
-
- iterate(INDArray) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- iterate(INDArray) - Method in class org.deeplearning4j.nn.layers.LossLayer
-
- iterate(INDArray) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- iterate(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- iterate(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
-
- iterateBucket(String) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
-
Iterate over individual buckets.
- iterateSample(T, T, AtomicLong, double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
-
Deprecated.
- iterateSample(T, int[], AtomicLong, double, boolean, int, boolean, INDArray) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
-
- iterateSample(T, T, AtomicLong, double, boolean, INDArray) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
-
- iterateSample(T, T, AtomicLong, double) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
-
Deprecated.
- iterateSample(T, T, double) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
-
Deprecated.
glove iteration
- iterateSample(T, T, AtomicLong, double) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
-
Deprecated.
- iterateSample(VocabWord, VocabWord, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.FirstIterationFunctionAdapter
-
- iterateSample(Word2VecParam, VocabWord, VocabWord, double, List<Triple<Integer, Integer, Integer>>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.SentenceBatch
-
Deprecated.
Iterate on the given 2 vocab words
- iterateSample(VocabWord, VocabWord, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformer
-
Deprecated.
Iterate on the given 2 vocab words
- iterateSample(VocabWord, VocabWord, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
-
Deprecated.
Iterate on the given 2 vocab words
- iterateSample(ShallowSequenceElement, int[], AtomicLong, double, boolean, int, boolean, INDArray) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkCBOW
-
- iterateSample(ShallowSequenceElement, ShallowSequenceElement, AtomicLong, double) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkSkipGram
-
- iterationCount - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
-
- iterationCount - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
-
- iterationCount - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
-
- iterationCount() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- iterationCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- iterationCountGreaterThan(int) - Static method in class org.deeplearning4j.clustering.algorithm.condition.FixedIterationCountCondition
-
- iterationCountId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- iterationCountMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- iterationCountMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- iterationCountMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- iterationCountMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- iterationCountMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- iterationCountNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- iterationCountNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- iterationDone(Model, int) - Method in interface org.deeplearning4j.optimize.api.IterationListener
-
Event listener for each iteration
- iterationDone(Model, int) - Method in class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener
-
- iterationDone(Model, int) - Method in class org.deeplearning4j.optimize.listeners.ComposableIterationListener
-
- iterationDone(Model, int) - Method in class org.deeplearning4j.optimize.listeners.ParamAndGradientIterationListener
-
- iterationDone(Model, int) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener
-
- iterationDone(Model, int) - Method in class org.deeplearning4j.optimize.listeners.ScoreIterationListener
-
- iterationDone(Model, int) - Method in class org.deeplearning4j.optimizer.listener.AssertWeightsDifferentIerationListener
-
- iterationDone(Model, int) - Method in class org.deeplearning4j.ui.flow.FlowIterationListener
-
Deprecated.
Event listener for each iteration
- iterationDone(Model, int) - Method in class org.deeplearning4j.ui.flow.RemoteFlowIterationListener
-
Event listener for each iteration
- iterationDone(Model, int) - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
-
- iterationDone(Model, int) - Method in class org.deeplearning4j.ui.weights.ConvolutionalIterationListener
-
Event listener for each iteration
- iterationDone(Model, int) - Method in class org.deeplearning4j.ui.weights.HistogramIterationListener
-
Deprecated.
- iterationDone(Model, int) - Method in class org.deeplearning4j.ui.weights.RemoteConvolutionalIterationListener
-
Event listener for each iteration
- iterationDone(Model, int) - Method in class org.deeplearning4j.ui.weights.RemoteHistogramIterationListener
-
- IterationHistory - Class in org.deeplearning4j.clustering.algorithm.iteration
-
- IterationHistory() - Constructor for class org.deeplearning4j.clustering.algorithm.iteration.IterationHistory
-
- IterationInfo - Class in org.deeplearning4j.clustering.algorithm.iteration
-
- IterationInfo() - Constructor for class org.deeplearning4j.clustering.algorithm.iteration.IterationInfo
-
- IterationInfo(int) - Constructor for class org.deeplearning4j.clustering.algorithm.iteration.IterationInfo
-
- IterationInfo(int, ClusterSetInfo) - Constructor for class org.deeplearning4j.clustering.algorithm.iteration.IterationInfo
-
- IterationListener - Interface in org.deeplearning4j.optimize.api
-
Each iteration the listener is called, mainly used for debugging or visualizations
- iterationListener - Variable in class org.deeplearning4j.plot.BarnesHutTsne
-
- iterationListeners - Variable in class org.deeplearning4j.nn.layers.BaseLayer
-
- iterationListeners - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- iterationListeners - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
-
- iterations(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
-
Ierations and epochs are the same in GloVe implementation.
- iterations(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
-
Deprecated.
- iterations(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
This method defines number of iterations done for each mini-batch during training
- iterations - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
- iterations(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
This method defines how much iterations should be done over batched sequences.
- iterations(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
This method defines number of iterations done for each mini-batch during training
- iterations(int) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
Number of optimization iterations.
- iterations(int) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
-
- iterations(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
-
This method specifies number of iterations over batch on each node
- ITERATIONS - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
-
Deprecated.
- ITERATIONS - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
-
Deprecated.
- iterations(int) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
-
- iterations(int) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
-
- iterationsCounter - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
-
- iterationsCounter - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
-
- IterationTerminationCondition - Interface in org.deeplearning4j.earlystopping.termination
-
Interface for termination conditions to be evaluated once per iteration (i.e., once per minibatch).
- iterationTerminationConditions(IterationTerminationCondition...) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
-
Termination conditions to be evaluated every iteration (minibatch)
- IterativeReduceFlatMap - Class in org.deeplearning4j.spark.impl.layer
-
Iterative reduce with
flat map using map partitions
- IterativeReduceFlatMap(String, Broadcast<INDArray>) - Constructor for class org.deeplearning4j.spark.impl.layer.IterativeReduceFlatMap
-
- iterator - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
-
- iterator - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
-
- iterator - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
-
- iterator() - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences
-
This method returns iterator with elements pairs and their weights.
- iterator - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
- iterator - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
-
- iterator() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
-
- iterator - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
-
- iterator - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
-
- iterator(LabelAwareIterator) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
-
- iterator(SentenceIterator) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
-
- iterator(DocumentIterator) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
-
- iterator - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
-
- iterator() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
-
- iterator - Variable in class org.deeplearning4j.parallelism.AsyncIterator
-
- iterator() - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
-
- iterator() - Method in class org.deeplearning4j.parallelism.MagicQueue
-
This method isn't supported
- iterator() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
-
Implentation for Iterable interface.
- iterator() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- iterator() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
-
- iterator() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
-
- iterator() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
-
- iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
-
- iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
-
- iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
-
- iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
-
- iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
-
- iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
-
- iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
-
- iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
-
- iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
-
- iterator() - Method in class org.deeplearning4j.util.DiskBasedQueue
-
- iterator() - Method in class org.deeplearning4j.util.MultiDimensionalSet
-
Returns an iterator over the elements in this applyTransformToDestination.
- IteratorDataSetIterator - Class in org.deeplearning4j.datasets.iterator
-
A DataSetIterator that works on an Iterator, combining and splitting the input DataSet objects as
required to get a consistent batch size.
- IteratorDataSetIterator(Iterator<DataSet>, int) - Constructor for class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
-
- IteratorIterator(Iterator, Factory<Iterator<T>>) - Constructor for class org.deeplearning4j.berkeley.Iterators.IteratorIterator
-
- IteratorMultiDataSetIterator - Class in org.deeplearning4j.datasets.iterator
-
A DataSetIterator that works on an Iterator, combining and splitting the input DataSet objects as
required to get a consistent batch size.
- IteratorMultiDataSetIterator(Iterator<MultiDataSet>, int) - Constructor for class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
-
- Iterators - Class in org.deeplearning4j.berkeley
-
- Iterators.FilteredIterator<T> - Class in org.deeplearning4j.berkeley
-
Creates an iterator that only returns items of a base iterator that pass
a filter.
- Iterators.IteratorIterator<T> - Class in org.deeplearning4j.berkeley
-
Wraps a two-level iteration scenario in an iterator.
- Iterators.Transform<S,T> - Class in org.deeplearning4j.berkeley
-
WraTps a base iterator with a transformation function.
- Iterators.TransformingIterator<I,O> - Class in org.deeplearning4j.berkeley
-
- IVertexSequence<T> - Interface in org.deeplearning4j.graph.api
-
Represents a sequence of vertices in a graph.
General-purpose, but can be used to represent a walk on a graph, for example.
- iz - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
-