- n(double) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder
-
Number of adjacent kernel maps to use when doing LRN.
- n - Variable in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
-
- N_GRAMS - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
-
Deprecated.
- N_OUT - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayerTest
-
- name(String) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
-
Layer name assigns layer string name.
- name(String) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
Layer name assigns layer string name.
- NAME_SPACE - Static variable in class org.deeplearning4j.spark.models.embeddings.glove.GlovePerformer
-
- NAME_SPACE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
-
Deprecated.
- NAME_SPACE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
-
Deprecated.
- NAN_REPLACEMENT_VALUE - Static variable in class org.deeplearning4j.ui.module.train.TrainModule
-
- nBins() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- nBins(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
-
- nBinsId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- nBinsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- nBinsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
-
- nBinsMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- nBinsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- nBinsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
-
- nBinsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- nBinsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
-
- nChooseK(int, int) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
Computes n choose k in an efficient way.
- NDARRAY_TYPE - Static variable in class org.deeplearning4j.streaming.kafka.NDArrayPublisher
-
- NDARRAY_TYPE_HEADER - Static variable in class org.deeplearning4j.streaming.kafka.NDArrayKafkaClient
-
- NDArrayConsumer - Class in org.deeplearning4j.streaming.kafka
-
NDArray consumer for receiving
ndarrays off of kafka
- NDArrayConsumer() - Constructor for class org.deeplearning4j.streaming.kafka.NDArrayConsumer
-
- NDArrayHDF5Reader - Class in org.deeplearning4j.keras
-
Reads and INDArray from a HDF5 dataset.
- NDArrayHDF5Reader() - Constructor for class org.deeplearning4j.keras.NDArrayHDF5Reader
-
- NDArrayKafkaClient - Class in org.deeplearning4j.streaming.kafka
-
Created by agibsonccc on 7/31/16.
- NDArrayKafkaClient() - Constructor for class org.deeplearning4j.streaming.kafka.NDArrayKafkaClient
-
- NDArrayPublisher - Class in org.deeplearning4j.streaming.kafka
-
Send an ndarray to a kafka topic
- NDArrayPublisher() - Constructor for class org.deeplearning4j.streaming.kafka.NDArrayPublisher
-
- NDArrayPublisherTests - Class in org.deeplearning4j.streaming.kafka
-
Created by agibsonccc on 7/30/16.
- NDArrayPublisherTests() - Constructor for class org.deeplearning4j.streaming.kafka.NDArrayPublisherTests
-
- NDArrayPubSubRoute - Class in org.deeplearning4j.streaming.kafka
-
Created by agibsonccc on 7/31/16.
- NDArrayPubSubRoute() - Constructor for class org.deeplearning4j.streaming.kafka.NDArrayPubSubRoute
-
- NDArrayRecordToNDArray - Class in org.deeplearning4j.streaming.conversion.ndarray
-
Assumes all records in the given batch are
of type @link{NDArrayWritable}
It extracts the underlying arrays and returns a
concatenated array.
- NDArrayRecordToNDArray() - Constructor for class org.deeplearning4j.streaming.conversion.ndarray.NDArrayRecordToNDArray
-
- NDArrayType - Enum in org.deeplearning4j.streaming.kafka
-
Used for headers to distinguish
the type of ndarray message
being sent.
- nearestCluster(Point) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
-
- nearestLabels(LabelledDocument, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
This method returns top N labels nearest to specified document
- nearestLabels(String, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
This method returns top N labels nearest to specified text
- nearestLabels(Collection<VocabWord>, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
This method returns top N labels nearest to specified set of vocab words
- nearestLabels(INDArray, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
This method returns top N labels nearest to specified features vector
- NearestNeighborsQuery - Class in org.deeplearning4j.ui.nearestneighbors.word2vec
-
- NearestNeighborsQuery(String, int) - Constructor for class org.deeplearning4j.ui.nearestneighbors.word2vec.NearestNeighborsQuery
-
- NearestNeighborsQuery() - Constructor for class org.deeplearning4j.ui.nearestneighbors.word2vec.NearestNeighborsQuery
-
- NearestVertexWalker<V extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
-
This walker represents connections of a given node + their neighborhoods up to certain depth.
- NearestVertexWalker() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
-
- NearestVertexWalker.Builder<V extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
-
- NearestVertexWalker.VertexComparator<V extends SequenceElement,E extends java.lang.Number> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
-
- negative() - Method in class org.deeplearning4j.eval.Evaluation
-
Total negatives true negatives + false negatives
- negative - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
-
- negative(double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
-
- negative - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
-
- negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
-
- negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
-
- negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
-
- negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
-
- negative - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
- negative(double) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
-
Deprecated.
- negative - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
- negative(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
-
- negative - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
-
- negative(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
-
Specifies negative sampling
- negative(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
-
Deprecated.
- NEGATIVE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
-
Deprecated.
- NEGATIVE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
-
Deprecated.
- NegativeDefaultStepFunction - Class in org.deeplearning4j.nn.conf.stepfunctions
-
Inverse step function
- NegativeDefaultStepFunction() - Constructor for class org.deeplearning4j.nn.conf.stepfunctions.NegativeDefaultStepFunction
-
- NegativeDefaultStepFunction - Class in org.deeplearning4j.optimize.stepfunctions
-
Inverse step function
- NegativeDefaultStepFunction() - Constructor for class org.deeplearning4j.optimize.stepfunctions.NegativeDefaultStepFunction
-
- NegativeGradientStepFunction - Class in org.deeplearning4j.nn.conf.stepfunctions
-
Subtract the line
- NegativeGradientStepFunction() - Constructor for class org.deeplearning4j.nn.conf.stepfunctions.NegativeGradientStepFunction
-
- NegativeGradientStepFunction - Class in org.deeplearning4j.optimize.stepfunctions
-
Subtract the line
- NegativeGradientStepFunction() - Constructor for class org.deeplearning4j.optimize.stepfunctions.NegativeGradientStepFunction
-
- NegativeHolder - Class in org.deeplearning4j.spark.models.embeddings.word2vec
-
Simple singleton holder class for w2v negative sampling, to avoid syn1Neg creation for each spark node
- negativeSample(double) - Method in class org.deeplearning4j.models.glove.Glove.Builder
-
Deprecated.
- negativeSample(double) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
-
Deprecated.
- negativeSample(double) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
This method defines whether negative sampling should be used or not
- negativeSample(double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
This method defines negative sampling value for skip-gram algorithm.
- negativeSample(double) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
This method defines whether negative sampling should be used or not
- negativeSampling(long) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
-
- negativeSampling(long) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
-
- negLogProbability(INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
-
- negLogProbability(INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution
-
- negLogProbability(INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
-
- negLogProbability(INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
-
- negLogProbability(INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
-
- negLogProbability(INDArray, INDArray, boolean) - Method in interface org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution
-
Calculate the negative log probability (summed or averaged over each example in the minibatch)
- NetBroadcastTuple - Class in org.deeplearning4j.spark.api.worker
-
A simple class for storing configurations, parameters and updaters in one class (so they can be broadcast together)
- NetBroadcastTuple(MultiLayerConfiguration, INDArray, INDArray) - Constructor for class org.deeplearning4j.spark.api.worker.NetBroadcastTuple
-
- NetBroadcastTuple(ComputationGraphConfiguration, INDArray, INDArray) - Constructor for class org.deeplearning4j.spark.api.worker.NetBroadcastTuple
-
- NetBroadcastTuple(MultiLayerConfiguration, ComputationGraphConfiguration, INDArray, INDArray) - Constructor for class org.deeplearning4j.spark.api.worker.NetBroadcastTuple
-
- NetBroadcastTuple(MultiLayerConfiguration, ComputationGraphConfiguration, INDArray, INDArray, AtomicInteger) - Constructor for class org.deeplearning4j.spark.api.worker.NetBroadcastTuple
-
- NetworkInformation - Class in org.deeplearning4j.spark.models.sequencevectors.primitives
-
- NetworkInformation() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.primitives.NetworkInformation
-
- networkInputs - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
-
- networkInputs - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
-
List of inputs to the network, by name
- networkInputTypes - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
-
- networkMask - Variable in class org.deeplearning4j.spark.models.sequencevectors.utils.NetworkOrganizer
-
- NetworkOrganizer - Class in org.deeplearning4j.spark.models.sequencevectors.utils
-
Utility class that provides
- NetworkOrganizer(Collection<NetworkInformation>) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.utils.NetworkOrganizer
-
This constructor is NOT implemented yet
- NetworkOrganizer(Collection<NetworkInformation>, String) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.utils.NetworkOrganizer
-
- NetworkOrganizer.VirtualNode - Class in org.deeplearning4j.spark.models.sequencevectors.utils
-
- NetworkOrganizer.VirtualTree - Class in org.deeplearning4j.spark.models.sequencevectors.utils
-
- NetworkOrganizerTest - Class in org.deeplearning4j.spark.models.sequencevectors.utils
-
- NetworkOrganizerTest() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.utils.NetworkOrganizerTest
-
- networkOutputs - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
-
- networkOutputs - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
-
List of network outputs, by name
- NeuralNetConfiguration - Class in org.deeplearning4j.nn.conf
-
A Serializable configuration
for neural nets that covers per layer parameters
- NeuralNetConfiguration() - Constructor for class org.deeplearning4j.nn.conf.NeuralNetConfiguration
-
- NeuralNetConfiguration.Builder - Class in org.deeplearning4j.nn.conf
-
- NeuralNetConfiguration.ListBuilder - Class in org.deeplearning4j.nn.conf
-
Fluent interface for building a list of configurations
- NeuralNetConfigurationTest - Class in org.deeplearning4j.nn.conf
-
Created by agibsonccc on 11/27/14.
- NeuralNetConfigurationTest() - Constructor for class org.deeplearning4j.nn.conf.NeuralNetConfigurationTest
-
- NeuralNetworkReader - Class in org.deeplearning4j.keras
-
Reads the neural network model from Keras, specified by the parameters.
- NeuralNetworkReader() - Constructor for class org.deeplearning4j.keras.NeuralNetworkReader
-
- newEpoch - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
-
- newExecutorService() - Static method in class org.deeplearning4j.util.MultiThreadUtils
-
- newHashBackedMap() - Static method in class org.deeplearning4j.util.MultiDimensionalMap
-
Thread safe hash map impl
- newInstance(ResourceResolver) - Static method in class com.atilika.kuromoji.dict.CharacterDefinitions
-
- newInstance(ResourceResolver) - Static method in class com.atilika.kuromoji.dict.ConnectionCosts
-
- newInstance(ResourceResolver) - Static method in class com.atilika.kuromoji.dict.TokenInfoDictionary
-
- newInstance(ResourceResolver, CharacterDefinitions, int) - Static method in class com.atilika.kuromoji.dict.UnknownDictionary
-
- newInstance(ResourceResolver) - Static method in class com.atilika.kuromoji.trie.DoubleArrayTrie
-
- newInstance(Object...) - Method in class org.deeplearning4j.berkeley.Factory.DefaultFactory
-
- newInstance(Object...) - Method in interface org.deeplearning4j.berkeley.Factory
-
- newIterable(Iterator<T>) - Static method in class org.deeplearning4j.berkeley.Iterators
-
Wraps an iterator as an iterable
- newPair(S, T) - Static method in class org.deeplearning4j.berkeley.Pair
-
- newThreadSafeHashBackedMap() - Static method in class org.deeplearning4j.util.MultiDimensionalMap
-
Thread safe hash map implementation
- newThreadSafeTreeBackedMap() - Static method in class org.deeplearning4j.util.MultiDimensionalMap
-
Thread safe sorted map implementation
- newTreeBackedMap() - Static method in class org.deeplearning4j.util.MultiDimensionalMap
-
Tree map implementation
- next() - Method in class org.deeplearning4j.aws.s3.reader.BucketIterator
-
- next() - Method in class org.deeplearning4j.berkeley.Iterators.FilteredIterator
-
- next() - Method in class org.deeplearning4j.berkeley.Iterators.IteratorIterator
-
- next() - Method in class org.deeplearning4j.berkeley.Iterators.Transform
-
- next() - Method in class org.deeplearning4j.berkeley.Iterators.TransformingIterator
-
- next() - Method in class org.deeplearning4j.berkeley.PriorityQueue
-
- next() - Method in interface org.deeplearning4j.berkeley.PriorityQueueInterface
-
Returns the element in the queue with highest priority, and pops it from
the queue.
- next(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
-
- next() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
-
- next() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
-
- next(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
-
- next() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
-
- next(int) - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
-
- next() - Method in class org.deeplearning4j.datasets.fetchers.BaseDataFetcher
-
- next() - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
-
- next(int) - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
-
Like the standard next method but allows a
customizable number of examples returned
- next() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
-
Returns the next element in the iteration.
- next() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIteratorTest
-
- next(int) - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
-
- next() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
-
- next(int) - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
-
- next() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
-
- next() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
-
- next(int) - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
-
- next() - Method in interface org.deeplearning4j.datasets.iterator.DataSetFetcher
-
Deprecated.
Returns the next data applyTransformToDestination
- next(int) - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
-
- next() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
-
- next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
-
- next() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
-
- next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
-
- next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
-
- next() - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
-
- next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
-
- next() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
-
- next() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
-
- next(int) - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
-
- next() - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
-
- next(int) - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
-
- next(int) - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
-
Like the standard next method but allows a
customizable number of examples returned
- next() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
-
- next(int) - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
-
Like the standard next method but allows a
customizable number of examples returned
- next() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
-
Returns the next element in the iteration.
- next() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
-
- next(int) - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
-
- next() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
-
Move to the next entry.
- next() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
-
- next(int) - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
-
- next() - Method in class org.deeplearning4j.graph.graph.VertexSequence
-
- next() - Method in interface org.deeplearning4j.graph.iterator.GraphWalkIterator
-
Get the next vertex sequence.
- next() - Method in class org.deeplearning4j.graph.iterator.RandomWalkIterator
-
- next() - Method in class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
-
- next() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
-
- next(int) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
-
- next() - Method in class org.deeplearning4j.keras.HDF5MiniBatchDataSetIterator
-
- next(int) - Method in class org.deeplearning4j.keras.HDF5MiniBatchDataSetIterator
-
- next() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.WeightIterator
-
- next() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
-
- next() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.CSVReader
-
- next() - Method in interface org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.Reader
-
- next() - Method in interface org.deeplearning4j.models.sequencevectors.graph.walkers.GraphWalker
-
This method returns next walk sequence from this graph
- next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
-
- next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
-
This method returns next walk sequence from this graph
- next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
-
This method returns next walk sequence from this graph
- next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker
-
This method returns next walk sequence from this graph
- next() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
-
- next() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
-
- next() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
-
- next(int) - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
-
Like the standard next method but allows a
customizable number of examples returned
- next() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
-
Returns the next element in the iteration.
- next() - Method in class org.deeplearning4j.parallelism.AsyncIterator
-
- next(int) - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
-
- next() - Method in class org.deeplearning4j.spark.iterator.PathSparkDataSetIterator
-
- next(int) - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
-
- next() - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
-
- next() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamDataSetIterator
-
- next(int) - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
-
- next() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
-
- next() - Method in class org.deeplearning4j.text.corpora.treeparser.TreeIterator
-
Returns the next element in the iteration.
- next() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
-
- next() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
-
- next() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
-
- next() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
-
- next() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
-
- next() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
-
- next() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
-
- next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
-
- nextBoolean() - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
-
Returns the next pseudorandom, uniformly distributed boolean value
from the Math.random() sequence.
- nextBoolean(Random) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
-
Returns the next pseudorandom, uniformly distributed boolean value
from the given random sequence.
- nextBucket() - Method in class org.deeplearning4j.aws.s3.reader.BaseS3DataSetIterator
-
- nextBucket - Variable in class org.deeplearning4j.parallelism.MagicQueue
-
- nextDocument() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
-
- nextDocument() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIteratorTest
-
- nextDocument() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
-
This method returns next LabelledDocument
- nextDocument() - Method in interface org.deeplearning4j.text.documentiterator.DocumentIterator
-
Get the next document
- nextDocument() - Method in class org.deeplearning4j.text.documentiterator.FileDocumentIterator
-
- nextDocument() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
-
- nextDocument() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
-
- nextDocument() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
-
- nextDocument() - Method in interface org.deeplearning4j.text.documentiterator.LabelAwareIterator
-
- nextDocument() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
-
This method returns next LabelledDocument from underlying iterator
- nextDocument() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
-
- nextDouble() - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
-
Returns the next pseudorandom, uniformly distributed float value
between 0.0 and 1.0 from the Math.random()
sequence.
- nextDouble(Random) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
-
Returns the next pseudorandom, uniformly distributed float value
between 0.0 and 1.0 from the given Random
sequence.
- nextElement - Variable in class org.deeplearning4j.parallelism.AsyncIterator
-
- nextFloat() - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
-
Returns the next pseudorandom, uniformly distributed float value
between 0.0 and 1.0 from the Math.random()
sequence.
- nextFloat(Random) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
-
Returns the next pseudorandom, uniformly distributed float value
between 0.0 and 1.0 from the given Random
sequence.
- nextImage() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
-
Move the cursor to the next image.
- nextInt() - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
-
Returns the next pseudorandom, uniformly distributed int value
from the Math.random() sequence.
- nextInt(Random) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
-
Returns the next pseudorandom, uniformly distributed int value
from the given random sequence.
- nextInt(int) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
-
Returns a pseudorandom, uniformly distributed int value
between 0 (inclusive) and the specified value
(exclusive), from the Math.random() sequence.
- nextInt(Random, int) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
-
Returns a pseudorandom, uniformly distributed int value
between 0 (inclusive) and the specified value
(exclusive), from the given Random sequence.
- nextLabel() - Method in class org.deeplearning4j.text.documentiterator.LabelsSource
-
Returns next label.
- nextLabel() - Method in interface org.deeplearning4j.text.labels.LabelsProvider
-
- nextList(ObjectListing) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
-
Iterator style one list at a time
- nextList(List<Iterator<T>>) - Static method in class org.deeplearning4j.berkeley.Iterators
-
- nextLong() - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
-
Returns the next pseudorandom, uniformly distributed long value
from the Math.random() sequence.
- nextLong(Random) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
-
Returns the next pseudorandom, uniformly distributed long value
from the given Random sequence.
- nextObject() - Method in class org.deeplearning4j.aws.s3.reader.BaseS3DataSetIterator
-
- nextObject() - Method in class org.deeplearning4j.models.glove.count.ASCIICoOccurrenceReader
-
Returns next CoOccurrenceWeight object
PLEASE NOTE: This method can return null value.
- nextObject() - Method in class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceReader
-
- nextObject() - Method in interface org.deeplearning4j.models.glove.count.CoOccurenceReader
-
- nextPowOf2(long) - Static method in class org.deeplearning4j.util.MathUtils
-
See: http://stackoverflow.com/questions/466204/rounding-off-to-nearest-power-of-2
- nextRandom - Variable in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
-
- nextSentence() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider
-
- nextSentence() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
-
- nextSentence() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
-
- nextSentence() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
-
- nextSentence() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.AsyncSequencer
-
- nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator
-
- nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
-
- nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
-
- nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator
-
- nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
-
- nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareListSentenceIterator
-
Gets the next sentence or null
if there's nothing left (Do yourself a favor and
check hasNext() )
- nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.LineSentenceIterator
-
- nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
-
- nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator
-
Deprecated.
- nextSentence() - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator
-
Gets the next sentence or null
if there's nothing left (Do yourself a favor and
check hasNext() )
- nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
-
- nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
-
- nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
-
- nextSequence() - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceIterator
-
- nextSequence() - Method in class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator
-
Returns next sequence out of iterator
- nextSequence() - Method in class org.deeplearning4j.models.sequencevectors.iterators.FilteredSequenceIterator
-
Returns filtered sequence, that contains sequence elements from vocabulary only.
- nextSequence() - Method in class org.deeplearning4j.models.sequencevectors.iterators.SynchronizedSequenceIterator
-
Returns next sequence from data source
- nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
-
This method returns next token from prebuffered list of tokens or underlying InputStream
- nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
-
- nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.JapaneseTokenizer
-
- nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.KoreanTokenizer
-
- nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
-
- nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer
-
- nextToken() - Method in interface org.deeplearning4j.text.tokenization.tokenizer.Tokenizer
-
The next token (word usually) in the string
- nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.UimaTokenizer
-
- nextWord - Variable in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
-
- nGrams - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
-
- NGramTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
-
- NGramTokenizer(Tokenizer, Integer, Integer) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
-
- NGramTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory
-
- NGramTokenizerFactory(TokenizerFactory, Integer, Integer) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.NGramTokenizerFactory
-
- NGramTokenizerTest - Class in org.deeplearning4j.text.tokenization.tokenizer
-
- NGramTokenizerTest() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizerTest
-
- nIn(int) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
-
- nIn - Variable in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
-
- nIn(int) - Method in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
-
- nIn - Variable in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
-
- nIn(int) - Method in class org.deeplearning4j.nn.conf.layers.LossLayer.Builder
-
- nIn - Variable in class org.deeplearning4j.nn.updater.TestUpdaters
-
- nIn - Variable in class org.deeplearning4j.spark.BaseSparkTest
-
- nInsPerLayer - Variable in class org.deeplearning4j.nn.conf.layers.setup.ConvolutionLayerSetup
-
Deprecated.
- nn(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.KDTree
-
Query for nearest neighbor.
- NO_TRUNCATED_BPTT - Static variable in class org.deeplearning4j.nn.modelimport.keras.layers.KerasInput
-
- Node() - Constructor for class com.atilika.kuromoji.trie.Trie.Node
-
Constructor
- Node(char) - Constructor for class com.atilika.kuromoji.trie.Trie.Node
-
Constructor
- Node(int, double) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree.Node
-
- Node2Vec<V extends SequenceElement,E extends java.lang.Number> - Class in org.deeplearning4j.models.node2vec
-
Deprecated.
- Node2Vec() - Constructor for class org.deeplearning4j.models.node2vec.Node2Vec
-
Deprecated.
- Node2Vec.Builder<V extends SequenceElement,E extends java.lang.Number> - Class in org.deeplearning4j.models.node2vec
-
Deprecated.
- NODE_RATIO - Static variable in class org.deeplearning4j.clustering.sptree.SpTree
-
- NodeReport - Class in org.deeplearning4j.ui.flow.beans
-
Unified node state report: weights/gradients as distribution
- NodeReport() - Constructor for class org.deeplearning4j.ui.flow.beans.NodeReport
-
- nodes - Variable in class org.deeplearning4j.spark.models.sequencevectors.utils.NetworkOrganizer.VirtualNode
-
- nodes - Variable in class org.deeplearning4j.spark.models.sequencevectors.utils.NetworkOrganizer.VirtualTree
-
- NodeTest - Class in com.atilika.kuromoji.trie
-
- NodeTest() - Constructor for class com.atilika.kuromoji.trie.NodeTest
-
- NoEdgeHandling - Enum in org.deeplearning4j.graph.api
-
When walking a graph, how should we handle disconnected nodes?
i.e., those without any outgoing (directed) or undirected edges
- NoEdgeHandling - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
-
This enum describes different behaviors for cases when GraphWalker don't have next hop within current walk.
- noEdgeHandling - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
-
- noEdgeHandling - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
-
- NoEdgesException - Exception in org.deeplearning4j.graph.exception
-
Unchecked exception, thrown to signify that an operation (usually on a vertex) cannot be completed
because there are no edges for that vertex.
- NoEdgesException() - Constructor for exception org.deeplearning4j.graph.exception.NoEdgesException
-
- NoEdgesException(String) - Constructor for exception org.deeplearning4j.graph.exception.NoEdgesException
-
- NoEdgesException(String, Exception) - Constructor for exception org.deeplearning4j.graph.exception.NoEdgesException
-
- NoEdgesException - Exception in org.deeplearning4j.models.sequencevectors.graph.exception
-
Unchecked exception, thrown to signify that an operation (usually on a vertex) cannot be completed
because there are no edges for that vertex.
- NoEdgesException() - Constructor for exception org.deeplearning4j.models.sequencevectors.graph.exception.NoEdgesException
-
- NoEdgesException(String) - Constructor for exception org.deeplearning4j.models.sequencevectors.graph.exception.NoEdgesException
-
- NoEdgesException(String, Exception) - Constructor for exception org.deeplearning4j.models.sequencevectors.graph.exception.NoEdgesException
-
- noNaNDivide(double, double) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
- none() - Static method in class org.deeplearning4j.models.word2vec.VocabWord
-
- NONE - Static variable in class org.deeplearning4j.util.StringGrid
-
- Norm2Termination - Class in org.deeplearning4j.optimize.terminations
-
Terminate if the norm2 of the gradient is < a certain tolerance
- Norm2Termination(double) - Constructor for class org.deeplearning4j.optimize.terminations.Norm2Termination
-
- NormalDistribution - Class in org.deeplearning4j.nn.conf.distribution
-
A normal distribution.
- NormalDistribution(double, double) - Constructor for class org.deeplearning4j.nn.conf.distribution.NormalDistribution
-
Create a normal distribution
with the given mean and std
- normalize() - Method in class org.deeplearning4j.berkeley.Counter
-
Destructively normalize this Counter in place.
- normalize() - Method in class org.deeplearning4j.berkeley.CounterMap
-
- normalize(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
-
- normalize - Variable in class org.deeplearning4j.plot.BarnesHutTsne
-
- normalize - Variable in class org.deeplearning4j.plot.Tsne.Builder
-
- normalize(boolean) - Method in class org.deeplearning4j.plot.Tsne.Builder
-
- normalize - Variable in class org.deeplearning4j.plot.Tsne
-
- normalize(double, double, double) - Static method in class org.deeplearning4j.util.MathUtils
-
Normalize a value
(val - min) / (max - min)
- normalize(double[], double) - Static method in class org.deeplearning4j.util.MathUtils
-
Normalizes the doubles in the array using the given value.
- normalized - Variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
-
- normalizedLabels - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
-
- NORMALIZER_BIN - Static variable in class org.deeplearning4j.util.ModelSerializer
-
- normalizeToOne(double[]) - Static method in class org.deeplearning4j.util.MathUtils
-
- normalizeWithDiscount(double) - Method in class org.deeplearning4j.berkeley.CounterMap
-
- notify(StatsStorageEvent) - Method in interface org.deeplearning4j.api.storage.StatsStorageListener
-
Notify will be called whenever an event (new information posted, etc) occurs.
- notify(StatsStorageEvent) - Method in class org.deeplearning4j.ui.storage.impl.QueuePairStatsStorageListener
-
- notify(StatsStorageEvent) - Method in class org.deeplearning4j.ui.storage.impl.QueueStatsStorageListener
-
- notifyListeners(List<StatsStorageEvent>) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
-
- notifyListeners(List<StatsStorageEvent>) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
-
- nOut(int) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
-
- nOut - Variable in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
-
- nOut(int) - Method in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
-
- nOut - Variable in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
-
- nOut(int) - Method in class org.deeplearning4j.nn.conf.layers.LossLayer.Builder
-
- nOut(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
-
Set the size of the VAE state Z.
- nOut - Variable in class org.deeplearning4j.nn.updater.TestUpdaters
-
- nOut - Variable in class org.deeplearning4j.spark.BaseSparkTest
-
- nOutReplace(int, int, WeightInit) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
-
Modify the architecture of a layer by changing nOut
Note this will also affect the layer that follows the layer specified, unless it is the output layer
- nOutReplace(int, int, Distribution) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
-
Modify the architecture of a layer by changing nOut
Note this will also affect the layer that follows the layer specified, unless it is the output layer
- nOutReplace(int, int, WeightInit, WeightInit) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
-
Modify the architecture of a layer by changing nOut
Note this will also affect the layer that follows the layer specified, unless it is the output layer
Can specify different weight init schemes for the specified layer and the layer that follows it.
- nOutReplace(int, int, Distribution, Distribution) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
-
Modify the architecture of a layer by changing nOut
Note this will also affect the layer that follows the layer specified, unless it is the output layer
Can specify different weight init schemes for the specified layer and the layer that follows it.
- nOutReplace(int, int, WeightInit, Distribution) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
-
Modify the architecture of a layer by changing nOut
Note this will also affect the layer that follows the layer specified, unless it is the output layer
Can specify different weight init schemes for the specified layer and the layer that follows it.
- nOutReplace(int, int, Distribution, WeightInit) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
-
Modify the architecture of a layer by changing nOut
Note this will also affect the layer that follows the layer specified, unless it is the output layer
Can specify different weight init schemes for the specified layer and the layer that follows it.
- nOutReplace(String, int, WeightInit) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
-
Modify the architecture of a vertex layer by changing nOut
Note this will also affect the vertex layer that follows the layer specified, unless it is the output layer
Currently does not support modifying nOut of layers that feed into non-layer vertices like merge, subset etc
To modify nOut for such vertices use remove vertex, followed by add vertex
Can specify different weight init schemes for the specified layer and the layer that follows it.
- nOutReplace(String, int, Distribution) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
-
Modify the architecture of a vertex layer by changing nOut
Note this will also affect the vertex layer that follows the layer specified, unless it is the output layer
Currently does not support modifying nOut of layers that feed into non-layer vertices like merge, subset etc
To modify nOut for such vertices use remove vertex, followed by add vertex
Can specify different weight init schemes for the specified layer and the layer that follows it.
- nOutReplace(String, int, Distribution, Distribution) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
-
Modified nOut of specified layer.
- nOutReplace(String, int, WeightInit, Distribution) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
-
- nOutReplace(String, int, Distribution, WeightInit) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
-
- nOutReplace(String, int, WeightInit, WeightInit) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
-
- nOutsPerLayer - Variable in class org.deeplearning4j.nn.conf.layers.setup.ConvolutionLayerSetup
-
Deprecated.
- nRows - Variable in class org.deeplearning4j.spark.BaseSparkTest
-
- nthIndex(String, char, int) - Static method in class org.deeplearning4j.berkeley.StringUtils
-
Returns the index of the nth occurrence of ch in s, or -1
if there are less than n occurrences of ch.
- NTP_SOURCE_SERVER_PROPERTY - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
-
- NTP_SOURCE_UPDATE_FREQUENCY_MS_PROPERTY - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
-
- NTPTimeSource - Class in org.deeplearning4j.spark.time
-
A
TimeSource that utilize Network Time Protocol to determine the system clock offset
Instances should be obtained via
NTPTimeSource.getInstance() or
TimeSourceProvider; one instance may be
used per machine
Specifically, the implementation uses Apache Commons Net (already a dependency in Spark) to query a NTP server.
- NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.IrisDataFetcher
-
- NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
-
- NUM_EXAMPLES_TEST - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
-
- NUM_TRAINABLE_PARAMS - Static variable in class org.deeplearning4j.nn.modelimport.keras.layers.KerasBatchNormalization
-
- NUM_TRAINABLE_PARAMS - Static variable in class org.deeplearning4j.nn.modelimport.keras.layers.KerasConvolution
-
- NUM_TRAINABLE_PARAMS - Static variable in class org.deeplearning4j.nn.modelimport.keras.layers.KerasDense
-
- NUM_TRAINABLE_PARAMS - Static variable in class org.deeplearning4j.nn.modelimport.keras.layers.KerasEmbedding
-
- NUM_TRAINABLE_PARAMS - Static variable in class org.deeplearning4j.nn.modelimport.keras.layers.KerasLstm
-
- NUM_WEIGHTS_IN_KERAS_LSTM - Static variable in class org.deeplearning4j.nn.modelimport.keras.layers.KerasLstm
-
- NUM_WORDS - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
-
Deprecated.
- NUM_WORDS - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
-
Deprecated.
- numberOfBuckets - Variable in class org.deeplearning4j.parallelism.MagicQueue
-
- numChannels(int[]) - Static method in class org.deeplearning4j.util.ConvolutionUtils
-
Returns the number of
feature maps for a given shape (must be at least 3 dimensions
- numColumns() - Method in class org.deeplearning4j.eval.RegressionEvaluation
-
- numDimension(int) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
-
- numDocuments() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Returns the number of documents
- numEpochs - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
-
- numEpochs - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
- numEpochs - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
- numEpochs - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
-
- numExamples() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
-
- numExamples() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
-
- numExamples() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
-
Total number of examples in the dataset
- numExamples() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
-
- numExamples - Variable in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
-
- numExamples() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
-
- numExamples() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
-
- numExamples - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
-
- numExamples() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
-
- numExamples() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
-
- numExamples() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
-
Total number of examples in the dataset
- numExamples() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
-
Total number of examples in the dataset
- numExamples() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
-
- numExamples() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
-
- numExamples() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
-
- numExamples() - Method in class org.deeplearning4j.keras.HDF5MiniBatchDataSetIterator
-
- numExamples() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
-
- numExamples() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
-
- numExecutors() - Method in class org.deeplearning4j.spark.BaseSparkTest
-
- numFeatureMap(NeuralNetConfiguration) - Static method in class org.deeplearning4j.util.ConvolutionUtils
-
- numHistogramBins(StatsType) - Method in interface org.deeplearning4j.ui.stats.api.StatsUpdateConfiguration
-
- numHistogramBins(int) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
-
- numHistogramBins(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration
-
- numInGroup() - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
-
- numInGroup(int) - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
-
- numInGroupMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
-
- numInGroupMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
-
- numInGroupMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
-
- numInGroupMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
-
- numInGroupNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
-
- numInGroupNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
-
- numIterations - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
- numIterations - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
- numIterations - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
-
- numIterations - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
-
- numIterations - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
-
- numLabelClasses() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider
-
Equivalent to allLabels().size()
- numLabelClasses() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
-
- numLabelClasses() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
-
- numLabelClasses() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
-
- numLabels() - Method in class org.deeplearning4j.eval.EvaluationBinary
-
Returns the number of labels - (i.e., size of the prediction/labels arrays) - if known.
- numLabels() - Method in class org.deeplearning4j.eval.ROCBinary
-
Returns the number of labels - (i.e., size of the prediction/labels arrays) - if known.
- numLabels() - Method in interface org.deeplearning4j.nn.api.Classifier
-
Returns the number of possible labels
- numLabels() - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
-
Returns the number of possible labels
- numLabels() - Method in class org.deeplearning4j.nn.layers.LossLayer
-
Returns the number of possible labels
- numLabels() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
Returns the number of possible labels
- numLayers - Variable in class org.deeplearning4j.nn.conf.layers.setup.ConvolutionLayerSetup
-
Deprecated.
- numOutcomes - Variable in class org.deeplearning4j.datasets.fetchers.BaseDataFetcher
-
- numParams() - Method in interface org.deeplearning4j.nn.api.Model
-
the number of parameters for the model
- numParams(boolean) - Method in interface org.deeplearning4j.nn.api.Model
-
the number of parameters for the model
- numParams(NeuralNetConfiguration) - Method in interface org.deeplearning4j.nn.api.ParamInitializer
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfigurationTest.StaticInnerGraphVertex
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.GraphVertex
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.L2Vertex
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.ScaleVertex
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.SubsetVertex
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.UnstackVertex
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.conf.misc.TestGraphVertex
-
- numParams() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
-
- numParams() - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
The number of parameters for the model
- numParams(boolean) - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
-
- numParams() - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
-
The number of parameters for the model, for backprop (i.e., excluding visible bias)
- numParams() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
-
- numParams() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- numParams() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- numParams(boolean) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- numParams() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
Returns a 1 x m vector where the vector is composed of
a flattened vector of all of the weights for the
various neuralNets and output layer
- numParams(boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
-
- numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.CenterLossParamInitializer
-
- numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
-
- numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
-
- numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.EmptyParamInitializer
-
- numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
-
- numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
-
- numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.PretrainParamInitializer
-
- numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
-
- numParams() - Method in class org.deeplearning4j.plot.BarnesHutTsne
-
- numParams(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne
-
- numPartitions() - Method in class org.deeplearning4j.spark.data.shuffle.IntPartitioner
-
- numPartitions() - Method in class org.deeplearning4j.spark.impl.common.repartition.BalancedPartitioner
-
- numPossibleLabels - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
-
- numRowCounter - Variable in class org.deeplearning4j.eval.Evaluation
-
- numSamples(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
-
Set the number of samples per data point (from VAE state Z) used when doing pretraining.
- numSamples - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- numVertices() - Method in interface org.deeplearning4j.graph.api.IGraph
-
Number of vertices in the graph
- numVertices() - Method in class org.deeplearning4j.graph.graph.Graph
-
- numVertices() - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
-
- numVertices() - Method in interface org.deeplearning4j.graph.models.GraphVectors
-
- numVertices() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
-
- numVertices() - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
-
Number of vertices in the graph
- numWords - Variable in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
-
- numWords() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
-
Returns number of elements in this vocabulary
- numWords() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
-
Deprecated.
Returns the number of words in the cache
- numWords() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
-
Returns the number of words in the cache
- numWords() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
-
- numWords(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
-
Deprecated.
- numWordsEncountered() - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
-
Returns the number of words encountered so far
- numWordsEncountered() - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer
-
Returns the number of words encountered so far
- nVertices - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
-