- machineId - Variable in class org.deeplearning4j.spark.stats.BaseEventStats
-
- MagicQueue - Class in org.deeplearning4j.parallelism
-
Limited Queue implementation, suited for multi-gpu prefetch.
- MagicQueue(int, int) - Constructor for class org.deeplearning4j.parallelism.MagicQueue
-
- MagicQueue.Builder - Class in org.deeplearning4j.parallelism
-
- MagicQueue.Mode - Enum in org.deeplearning4j.parallelism
-
- MagicQueueTest - Class in org.deeplearning4j.parallelism
-
- MagicQueueTest() - Constructor for class org.deeplearning4j.parallelism.MagicQueueTest
-
- main(String[]) - Static method in class com.atilika.kuromoji.ipadic.compile.DictionaryCompiler
-
- main(String[]) - Static method in class org.deeplearning4j.aws.ec2.provision.ClusterSetup
-
- main(String[]) - Static method in class org.deeplearning4j.aws.ec2.provision.DistributedDeepLearningTrainer
-
- main(String[]) - Static method in class org.deeplearning4j.berkeley.Counter
-
- main(String[]) - Static method in class org.deeplearning4j.berkeley.CounterMap
-
- main(String[]) - Static method in class org.deeplearning4j.berkeley.PriorityQueue
-
- main(String[]) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
Tests the hypergeometric distribution code, or other cooccurrences provided
in this module.
- main(String[]) - Static method in class org.deeplearning4j.berkeley.StringUtils
-
- main(String[]) - Static method in class org.deeplearning4j.datasets.mnist.draw.LoadAndDraw
-
- main(String[]) - Static method in class org.deeplearning4j.eval.ConfusionMatrix
-
- main(String[]) - Static method in class org.deeplearning4j.keras.Server
-
- main(String[]) - Static method in class org.deeplearning4j.parallelism.main.ParallelWrapperMain
-
- main(String[]) - Static method in class org.deeplearning4j.streaming.embedded.JavaQueueStream
-
- main(String[]) - Static method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
-
- main(String[]) - Static method in class org.deeplearning4j.ui.play.PlayUIServer
-
- makeCategoryReferences() - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
-
- makeCharacterCategoryMap() - Method in class com.atilika.kuromoji.compile.CharacterDefinitionsCompiler
-
- makeCoors(int, int) - Static method in class org.deeplearning4j.ui.flow.beans.Coords
-
- makeCosts() - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
-
- makeFeatures() - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
-
- makePair(S, T) - Static method in class org.deeplearning4j.berkeley.Pair
-
- makeRandomCSV(String, int, int) - Static method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetiteratorTest
-
- makeTable(int, double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
-
- makeTable(int, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.NegativeHolder
-
- makeTriple(S, T, U) - Static method in class org.deeplearning4j.berkeley.Triple
-
- man - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
-
- manhattanDistance(double[], double[]) - Static method in class org.deeplearning4j.util.MathUtils
-
This will calculate the Manhattan distance between two sets of points.
- ManualTests - Class in org.deeplearning4j.ui
-
Test environment for building/debugging UI.
- ManualTests() - Constructor for class org.deeplearning4j.ui.ManualTests
-
- map(String[], int) - Method in class org.deeplearning4j.spark.models.sequencevectors.utils.NetworkOrganizer.VirtualNode
-
- map(String) - Method in class org.deeplearning4j.spark.models.sequencevectors.utils.NetworkOrganizer.VirtualTree
-
PLEASE NOTE: This method expects binary octets inside the string argument
- mapActivation(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
Map Keras to DL4J activation functions.
- mapByPrimaryKey(int) - Method in class org.deeplearning4j.util.StringGrid
-
- MapDBStatsStorage - Class in org.deeplearning4j.ui.storage.mapdb
-
- MapDBStatsStorage() - Constructor for class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
-
- MapDBStatsStorage(File) - Constructor for class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
-
- MapDBStatsStorage.Builder - Class in org.deeplearning4j.ui.storage.mapdb
-
- MapFactory<K,V> - Class in org.deeplearning4j.berkeley
-
The MapFactory is a mechanism for specifying what kind of map is to be used
by some object.
- MapFactory() - Constructor for class org.deeplearning4j.berkeley.MapFactory
-
- MapFactory.HashMapFactory<K,V> - Class in org.deeplearning4j.berkeley
-
- MapFactory.IdentityHashMapFactory<K,V> - Class in org.deeplearning4j.berkeley
-
- MapFactory.TreeMapFactory<K,V> - Class in org.deeplearning4j.berkeley
-
- MapFactory.WeakHashMapFactory<K,V> - Class in org.deeplearning4j.berkeley
-
- mapFeatures(List<String>) - Method in class com.atilika.kuromoji.buffer.FeatureInfoMap
-
- mapLossFunction(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
Map Keras to DL4J loss functions.
- mapper() - Static method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
-
- mapper() - Static method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
-
Object mapper for serialization of configurations
- MapPerPartitionVoidFunction - Class in org.deeplearning4j.spark.text.functions
-
- MapPerPartitionVoidFunction() - Constructor for class org.deeplearning4j.spark.text.functions.MapPerPartitionVoidFunction
-
- mapperYaml() - Static method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
-
Object mapper for serialization of configurations
- mapPoolingDimensions(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
Map Keras pooling layers to DL4J pooling dimensions.
- mapPoolingType(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
Map Keras pooling layers to DL4J pooling types.
- MapToPairFunction - Class in org.deeplearning4j.spark.models.embeddings.word2vec
-
- MapToPairFunction() - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.MapToPairFunction
-
- MapTupleToPairFlatMap<T,U> - Class in org.deeplearning4j.spark.impl.common.repartition
-
This is a simple function used to convert a JavaRDD<Tuple2<T,U>> to a JavaPairRDD<T,U> via a
{JavaRDD.mappartitionsToPair()} call.
- MapTupleToPairFlatMap() - Constructor for class org.deeplearning4j.spark.impl.common.repartition.MapTupleToPairFlatMap
-
- mapWeightInitialization(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
-
Map Keras to DL4J weight initialization functions.
- margin(LengthUnit, Integer, Integer, Integer, Integer) - Method in class org.deeplearning4j.ui.api.Style.Builder
-
- margin(LengthUnit, Double, Double, Double, Double) - Method in class org.deeplearning4j.ui.api.Style.Builder
-
- marginBottom - Variable in class org.deeplearning4j.ui.api.Style.Builder
-
- marginBottom - Variable in class org.deeplearning4j.ui.api.Style
-
- marginLeft - Variable in class org.deeplearning4j.ui.api.Style.Builder
-
- marginLeft - Variable in class org.deeplearning4j.ui.api.Style
-
- marginRight - Variable in class org.deeplearning4j.ui.api.Style.Builder
-
- marginRight - Variable in class org.deeplearning4j.ui.api.Style
-
- marginTop - Variable in class org.deeplearning4j.ui.api.Style.Builder
-
- marginTop - Variable in class org.deeplearning4j.ui.api.Style
-
- marginUnit - Variable in class org.deeplearning4j.ui.api.Style.Builder
-
- marginUnit - Variable in class org.deeplearning4j.ui.api.Style
-
- markAsLabel(boolean) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
-
This method specifies, whether this element should be treated as label for some sequence/document or not.
- mask - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- maskArray - Variable in class org.deeplearning4j.nn.layers.BaseLayer
-
- maskArray - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- maskedPoolingConvolution(PoolingType, INDArray, INDArray, boolean, int) - Static method in class org.deeplearning4j.util.MaskedReductionUtil
-
- maskedPoolingEpsilonCnn(PoolingType, INDArray, INDArray, INDArray, boolean, int) - Static method in class org.deeplearning4j.util.MaskedReductionUtil
-
- maskedPoolingEpsilonTimeSeries(PoolingType, INDArray, INDArray, INDArray, int) - Static method in class org.deeplearning4j.util.MaskedReductionUtil
-
- maskedPoolingTimeSeries(PoolingType, INDArray, INDArray, int) - Static method in class org.deeplearning4j.util.MaskedReductionUtil
-
- MaskedReductionUtil - Class in org.deeplearning4j.util
-
This is a TEMPORARY class for implementing global pooling with masking.
- MaskedReductionUtil() - Constructor for class org.deeplearning4j.util.MaskedReductionUtil
-
- MaskState - Enum in org.deeplearning4j.nn.api
-
MaskState: specifies whether a mask should be applied or not.
- maskState - Variable in class org.deeplearning4j.nn.layers.BaseLayer
-
- matches(String, String) - Static method in class org.deeplearning4j.berkeley.StringUtils
-
Say whether this regular expression matches
this String.
- matchesAnyStopWord(List<String>, String) - Static method in class org.deeplearning4j.text.movingwindow.Util
-
- MathUtils - Class in org.deeplearning4j.util
-
This is a math utils class.
- MathUtils() - Constructor for class org.deeplearning4j.util.MathUtils
-
- max() - Method in class org.deeplearning4j.berkeley.Counter
-
- max(int, int, int) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
Returns the minimum of three int values.
- max(float, float) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
Returns the greater of two float values.
- max(double, double) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
Returns the greater of two double values.
- max(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
-
- max(double[]) - Static method in class org.deeplearning4j.util.MathUtils
-
- MAX_CODE_LENGTH - Variable in class org.deeplearning4j.models.word2vec.Huffman
-
- MAX_COUNT - Static variable in class org.deeplearning4j.spark.models.embeddings.glove.GlovePerformer
-
- MAX_EXP - Static variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
-
- MAX_EXP - Static variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
-
- MAX_EXP - Static variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
-
- MAX_EXP - Static variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
-
- MAX_QUERY_RETRIES - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
-
- MAX_REL_ERROR - Static variable in class org.deeplearning4j.graph.models.deepwalk.DeepWalkGradientCheck
-
- maxBatchesPerWorker - Variable in class org.deeplearning4j.spark.api.WorkerConfiguration
-
- maxCount(double) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
-
Deprecated.
- maxCount(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
-
- MaxEpochsTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
-
Terminate training if the number of epochs exceeds the maximum number of epochs
- MaxEpochsTerminationCondition(int) - Constructor for class org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition
-
- maxIndex(double[]) - Static method in class org.deeplearning4j.util.MathUtils
-
Returns index of maximum element in a given
array of doubles.
- maxIter - Variable in class org.deeplearning4j.plot.BarnesHutTsne
-
- maxIter - Variable in class org.deeplearning4j.plot.Tsne.Builder
-
- maxIter - Variable in class org.deeplearning4j.plot.Tsne
-
- maxLengthIterator(Iterator<T>, int) - Static method in class org.deeplearning4j.berkeley.Iterators
-
Provides a max number of elements for an underlying base iterator.
- maxmemory - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
-
- maxMemory(int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
-
This method allows you to specify maximum memory available for CoOccurrence map builder.
- maxmemory - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
-
- maxmemory - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
-
- maxMemory(int) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
-
This method allows you to specify maximum memory available for CoOccurrence map builder.
- maxMemory(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
-
This method allows you to specify maximum memory available for CoOccurrence map builder.
- maxNumBatches - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
-
- maxNumLineSearchIterations - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
- maxNumLineSearchIterations(int) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
Maximum number of line search iterations.
- maxNumLineSearchIterations - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
-
- maxNumLineSearchIterations - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
-
- MaxPerPartitionAccumulator - Class in org.deeplearning4j.spark.text.accumulators
-
- MaxPerPartitionAccumulator() - Constructor for class org.deeplearning4j.spark.text.accumulators.MaxPerPartitionAccumulator
-
- MaxScoreIterationTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
-
Iteration termination condition for terminating training if the minibatch score exceeds a certain value.
- MaxScoreIterationTerminationCondition(double) - Constructor for class org.deeplearning4j.earlystopping.termination.MaxScoreIterationTerminationCondition
-
- maxSentenceLength(int) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
-
Maximum sentence/document length.
- MaxTimeIterationTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
-
Terminate training based on max time.
- MaxTimeIterationTerminationCondition(long, TimeUnit) - Constructor for class org.deeplearning4j.earlystopping.termination.MaxTimeIterationTerminationCondition
-
- maxValue() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- maxValue(double) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
-
- maxValueId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- maxValueMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- maxValueMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
-
- maxValueMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- maxValueMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- maxValueMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
-
- maxValueNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- maxValueNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
-
- mean(double[]) - Static method in class org.deeplearning4j.util.MathUtils
-
Computes the mean for an array of doubles.
- meanAbsoluteError(int) - Method in class org.deeplearning4j.eval.RegressionEvaluation
-
- meanActivations() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
-
- meanActivations(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
-
- meanGradients() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
-
- meanGradients(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
-
- meanMagnitudeActivations() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
-
- meanMagnitudeActivations(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
-
- meanMagnitudeGradients() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
-
- meanMagnitudeGradients(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
-
- meanMagnitudeParameters() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
-
- meanMagnitudeParameters(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
-
- meanMagnitudeUpdates() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
-
- meanMagnitudeUpdates(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
-
- meanParameters() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
-
- meanParameters(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
-
- meanSquaredError(int) - Method in class org.deeplearning4j.eval.RegressionEvaluation
-
- meanUpdates() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
-
- meanUpdates(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
-
- memCellActivations - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
-
- memCellState - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
-
- memory_threshold - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
-
- memoryBytes() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
-
- memoryBytes(long) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
-
- memoryBytesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
-
- memoryBytesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
-
- memoryBytesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
-
- memoryBytesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
-
- memoryBytesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
-
- memoryBytesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
-
- memoryBytesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
-
- memoryBytesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
-
- MemoryType - Enum in org.deeplearning4j.ui.stats.sbe
-
- memoryType() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
-
- memoryType(MemoryType) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
-
- memoryTypeId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
-
- memoryTypeMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
-
- memoryUse() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- memoryUse() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
-
- memoryUse(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
-
- memoryUseCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- MemoryUseDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
-
- memoryUseDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
-
- MemoryUseEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
-
- memoryUseId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
-
- merge(Evaluation) - Method in class org.deeplearning4j.eval.Evaluation
-
Merge the other evaluation object into this one.
- merge(EvaluationBinary) - Method in class org.deeplearning4j.eval.EvaluationBinary
-
- merge(T) - Method in interface org.deeplearning4j.eval.IEvaluation
-
- merge(RegressionEvaluation) - Method in class org.deeplearning4j.eval.RegressionEvaluation
-
- merge(ROC) - Method in class org.deeplearning4j.eval.ROC
-
Merge this ROC instance with another.
- merge(ROCBinary) - Method in class org.deeplearning4j.eval.ROCBinary
-
- merge(ROCMultiClass) - Method in class org.deeplearning4j.eval.ROCMultiClass
-
Merge this ROCMultiClass instance with another.
- merge(Layer, int) - Method in interface org.deeplearning4j.nn.api.Layer
-
- merge(Layer, int) - Method in class org.deeplearning4j.nn.layers.ActivationLayer
-
- merge(Layer, int) - Method in class org.deeplearning4j.nn.layers.BaseLayer
-
Averages the given logistic regression from a mini batch into this layer
- merge(Layer, int) - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
-
- merge(Layer, int) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
-
- merge(Layer, int) - Method in class org.deeplearning4j.nn.layers.DropoutLayer
-
- merge(Layer, int) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
-
- merge(Layer, int) - Method in class org.deeplearning4j.nn.layers.LossLayer
-
- merge(Layer, int) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
-
- merge(Layer, int) - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
-
- merge(Layer, int) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
-
- merge(Layer, int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- merge(MultiLayerNetwork, int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
-
- merge(int, int) - Method in class org.deeplearning4j.util.StringGrid
-
- mergeCoords(double[], double[]) - Static method in class org.deeplearning4j.util.MathUtils
-
This will merge the coordinates of the given coordinate system.
- mergeCoords(List<Double>, List<Double>) - Static method in class org.deeplearning4j.util.MathUtils
-
This will merge the coordinates of the given coordinate system.
- MergeVertex - Class in org.deeplearning4j.nn.conf.graph
-
A MergeVertex is used to combine the activations of two or more layers/GraphVertex by means of concatenation/merging.
Exactly how this is done depends on the type of input.
For 2d (feed forward layer) inputs: MergeVertex([numExamples,layerSize1],[numExamples,layerSize2]) -> [numExamples,layerSize1 + layerSize2]
For 3d (time series) inputs: MergeVertex([numExamples,layerSize1,timeSeriesLength],[numExamples,layerSize2,timeSeriesLength])
-> [numExamples,layerSize1 + layerSize2,timeSeriesLength]
For 4d (convolutional) inputs: MergeVertex([numExamples,depth1,width,height],[numExamples,depth2,width,height])
-> [numExamples,depth1 + depth2,width,height]
- MergeVertex() - Constructor for class org.deeplearning4j.nn.conf.graph.MergeVertex
-
- MergeVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
-
A MergeVertex is used to combine the activations of two or more layers/GraphVertex by means of concatenation/merging.
Exactly how this is done depends on the type of input.
For 2d (feed forward layer) inputs: MergeVertex([numExamples,layerSize1],[numExamples,layerSize2]) -> [numExamples,layerSize1 + layerSize2]
For 3d (time series) inputs: MergeVertex([numExamples,layerSize1,timeSeriesLength],[numExamples,layerSize2,timeSeriesLength])
-> [numExamples,layerSize1 + layerSize2,timeSeriesLength]
For 4d (convolutional) inputs: MergeVertex([numExamples,depth1,width,height],[numExamples,depth2,width,height])
-> [numExamples,depth1 + depth2,width,height]
- MergeVertex(ComputationGraph, String, int) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
-
- MergeVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[]) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
-
- MessageHeaderDecoder - Class in org.deeplearning4j.ui.stats.sbe
-
- MessageHeaderDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
-
- MessageHeaderEncoder - Class in org.deeplearning4j.ui.stats.sbe
-
- MessageHeaderEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
-
- MetaAttribute - Enum in org.deeplearning4j.ui.stats.sbe
-
- metaDataBytes() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
-
- metaDataBytesCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
-
- MetaDataBytesDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
-
- metaDataBytesDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
-
- MetaDataBytesEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
-
- metaDataBytesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
-
- min() - Method in class org.deeplearning4j.berkeley.Counter
-
- min(int, int, int) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
Returns the minimum of three int values.
- min(float, float) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
Returns the smaller of two float values.
- min(double, double) - Static method in class org.deeplearning4j.berkeley.SloppyMath
-
Returns the smaller of two double values.
- min(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
-
- min(double[]) - Static method in class org.deeplearning4j.util.MathUtils
-
- MIN_ALPHA - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
-
Deprecated.
- MIN_ALPHA - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
-
Deprecated.
- MIN_UPDATE_FREQUENCY - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
-
- minDistance(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect
-
- minElementFrequency - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
-
- minElementFrequency(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
-
- minGain(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
-
- minGain - Variable in class org.deeplearning4j.plot.BarnesHutTsne
-
- minGain - Variable in class org.deeplearning4j.plot.Tsne.Builder
-
- minGain(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
-
- minGain - Variable in class org.deeplearning4j.plot.Tsne
-
- minibatch(boolean) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
-
If doing minibatch training or not.
- miniBatch - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
- miniBatch(boolean) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
Process input as minibatch vs full dataset.
- miniBatch - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
-
- miniBatch - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
-
- miniBatches() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
-
Iterates over mini batches
- miniBatchesJava() - Method in class org.deeplearning4j.spark.datavec.RDDMiniBatches
-
- minibatchesPerSecond() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
-
- minibatchesPerSecond(float) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
-
- minibatchesPerSecondId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
-
- minibatchesPerSecondMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
-
- minibatchesPerSecondMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
-
- minibatchesPerSecondMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
-
- minibatchesPerSecondMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
-
- minibatchesPerSecondMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
-
- minibatchesPerSecondNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
-
- minibatchesPerSecondNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
-
- MiniBatchFunction(int) - Constructor for class org.deeplearning4j.spark.datavec.RDDMiniBatches.MiniBatchFunction
-
- minibatchSize(int) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
-
Minibatch size to use for the DataSetIterator
- MiniBatchTests - Class in org.deeplearning4j.spark.datavec
-
Handle dividing things up by mini batch
- MiniBatchTests() - Constructor for class org.deeplearning4j.spark.datavec.MiniBatchTests
-
- MiniBatchTests.DataSetAssertionFunction - Class in org.deeplearning4j.spark.datavec
-
- minimize - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
- minimize(boolean) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
-
Objective function to minimize or maximize cost function
Default set to minimize true.
- minimize - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
-
- minimize - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
-
- minLearningRate - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
- minLearningRate(double) - Method in class org.deeplearning4j.models.glove.Glove.Builder
-
- minLearningRate(double) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
-
Deprecated.
- minLearningRate(double) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
This method defines minimal learning rate value for training
- minLearningRate - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
- minLearningRate(double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
This method defines minimum learning rate after decay being applied.
- minLearningRate(double) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
This method defines minimal learning rate value for training
- minLearningRate - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
-
- minLearningRate(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
-
This method specifies bottom threshold for learning rate decay
- minValue() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- minValue(double) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
-
- minValueId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- minValueMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- minValueMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
-
- minValueMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- minValueMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- minValueMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
-
- minValueNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
-
- minValueNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
-
- minWordFrequency - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
-
- minWordFrequency - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
-
- minWordFrequency - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
-
Deprecated.
- minWordFrequency - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
-
- minWordFrequency - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
- minWordFrequency(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
-
Sets minimum word frequency during vocabulary mastering.
- minWordFrequency(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
-
Deprecated.
- minWordFrequency(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
This method defines minimal word frequency in training corpus.
- minWordFrequency - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
- minWordFrequency(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
This method defines minimal element frequency for elements found in the training corpus.
- minWordFrequency(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
This method defines minimal word frequency in training corpus.
- minWordFrequency(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
-
- minWordFrequency - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
-
- minWordFrequency(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
-
This method specifies minimum word frequency threshold.
- minWordFrequency(int) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
-
- minWordFrequency(int) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
-
- minWords(int) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
-
Deprecated.
- mkOrderingOps(DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
-
- MLLibUtil - Class in org.deeplearning4j.spark.util
-
Dl4j <----> MLLib
- MLLIbUtilTest - Class in org.deeplearning4j.spark.util
-
Created by agibsonccc on 1/23/15.
- MLLIbUtilTest() - Constructor for class org.deeplearning4j.spark.util.MLLIbUtilTest
-
- mnist() - Static method in class org.deeplearning4j.datasets.DataSets
-
- mnist(int) - Static method in class org.deeplearning4j.datasets.DataSets
-
- MNIST_ROOT - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
-
- MnistDataFetcher - Class in org.deeplearning4j.datasets.fetchers
-
Data fetcher for the MNIST dataset
- MnistDataFetcher(boolean) - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
-
Constructor telling whether to binarize the dataset or not
- MnistDataFetcher(boolean, boolean, boolean, long) - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
-
- MnistDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
-
- MnistDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
-
Mnist data applyTransformToDestination iterator.
- MnistDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator
-
- MnistDataSetIterator(int, int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator
-
Get the specified number of examples for the MNIST training data set.
- MnistDataSetIterator(int, boolean, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator
-
Constructor to get the full MNIST data set (either test or train sets) without binarization (i.e., just normalization
into range of 0 to 1), with shuffling based on a random seed.
- MnistDataSetIterator(int, int, boolean, boolean, boolean, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator
-
Get the specified number of MNIST examples (test or train set), with optional shuffling and binarization.
- MnistDataSetIteratorProviderFactory - Class in org.deeplearning4j.parallelism.main
-
Created by agibsonccc on 12/29/16.
- MnistDataSetIteratorProviderFactory() - Constructor for class org.deeplearning4j.parallelism.main.MnistDataSetIteratorProviderFactory
-
- MnistDbFile - Class in org.deeplearning4j.datasets.mnist
-
MNIST database file containing entries that can represent image or label
data.
- MnistDbFile(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistDbFile
-
Creates new instance and reads the header information.
- MnistFetcher - Class in org.deeplearning4j.base
-
- MnistFetcher() - Constructor for class org.deeplearning4j.base.MnistFetcher
-
- MnistFetcherTest - Class in org.deeplearning4j.base
-
- MnistFetcherTest() - Constructor for class org.deeplearning4j.base.MnistFetcherTest
-
- MnistImageFile - Class in org.deeplearning4j.datasets.mnist
-
MNIST database image file.
- MnistImageFile(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistImageFile
-
Creates new MNIST database image file ready for reading.
- MnistLabelFile - Class in org.deeplearning4j.datasets.mnist
-
MNIST database label file.
- MnistLabelFile(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistLabelFile
-
Creates new MNIST database label file ready for reading.
- mnistLenet() - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayerSetupTest
-
- MnistManager - Class in org.deeplearning4j.datasets.mnist
-
Utility class for working with the MNIST database.
- MnistManager(String, String, boolean) - Constructor for class org.deeplearning4j.datasets.mnist.MnistManager
-
Constructs an instance managing the two given data files.
- MnistManager(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistManager
-
- mode(TokenizerBase.Mode) - Method in class com.atilika.kuromoji.ipadic.Tokenizer.Builder
-
Sets the tokenization mode
- mode - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
-
- mode - Variable in class org.deeplearning4j.parallelism.MagicQueue
-
- model - Variable in class org.deeplearning4j.earlystopping.trainer.BaseEarlyStoppingTrainer
-
- Model - Interface in org.deeplearning4j.nn.api
-
A Model is meant for predicting something from data.
- Model - Class in org.deeplearning4j.nn.modelimport.keras
-
- model(Model) - Method in class org.deeplearning4j.optimize.Solver.Builder
-
- model - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
-
- model - Variable in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
-
- model - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
-
- model - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
-
- MODEL_CLASS_NAME_MODEL - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
-
- MODEL_CLASS_NAME_SEQUENTIAL - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
-
- MODEL_CONFIG_FIELD_INPUT_LAYERS - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
-
- MODEL_CONFIG_FIELD_LAYERS - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
-
- MODEL_CONFIG_FIELD_OUTPUT_LAYERS - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
-
- MODEL_FIELD_CLASS_NAME - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
-
- MODEL_FIELD_CONFIG - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
-
- ModelAndGradient - Class in org.deeplearning4j.ui.weights
-
- ModelAndGradient() - Constructor for class org.deeplearning4j.ui.weights.ModelAndGradient
-
- ModelAndGradient(Model) - Constructor for class org.deeplearning4j.ui.weights.ModelAndGradient
-
- modelConfigClassName() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelConfigClassName(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelConfigClassNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelConfigClassNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelConfigClassNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelConfigClassNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelConfigClassNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelConfigClassNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelConfigClassNameLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelConfigClassNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelConfigClassNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelConfigJson() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelConfigJson(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelConfigJsonCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelConfigJsonCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelConfigJsonHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelConfigJsonHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelConfigJsonId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelConfigJsonId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelConfigJsonLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelConfigJsonMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelConfigJsonMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- ModelConfiguration - Class in org.deeplearning4j.nn.modelimport.keras
-
- modelExporter - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
-
- ModelGuesser - Class in org.deeplearning4j.util
-
Guess a model from the given path
- ModelGuesser() - Constructor for class org.deeplearning4j.util.ModelGuesser
-
- ModelGuesserTest - Class in org.deeplearning4j.util
-
Created by agibsonccc on 12/29/16.
- ModelGuesserTest() - Constructor for class org.deeplearning4j.util.ModelGuesserTest
-
- ModelInfo - Class in org.deeplearning4j.ui.flow.beans
-
This bean works as holder for unbounded list of layers.
- ModelInfo() - Constructor for class org.deeplearning4j.ui.flow.beans.ModelInfo
-
- modelInfo() - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
-
- modelInfo(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
-
- modelNumLayers() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelNumLayers(int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelNumLayersId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelNumLayersMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelNumLayersMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelNumLayersMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelNumLayersMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelNumLayersMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelNumLayersNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelNumLayersNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelNumParams() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelNumParams(long) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelNumParamsId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelNumParamsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelNumParamsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelNumParamsMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelNumParamsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelNumParamsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelNumParamsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelNumParamsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelParamNames() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- modelParamNames() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
-
- modelParamNames(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
-
- modelParamNamesCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
-
- modelParamNamesCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
-
- modelParamNamesCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- ModelParamNamesDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
-
- modelParamNamesDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
-
- ModelParamNamesEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
-
- modelParamNamesHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
-
- modelParamNamesHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
-
- modelParamNamesId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
-
- modelParamNamesId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
-
- modelParamNamesId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
-
- modelParamNamesLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
-
- modelParamNamesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
-
- modelParamNamesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
-
- modelSaver(EarlyStoppingModelSaver<T>) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
-
How should models be saved? (Default: in memory)
- ModelSerializer - Class in org.deeplearning4j.util
-
Utility class suited to save/restore neural net models
- ModelSerializerTest - Class in org.deeplearning4j.util
-
- ModelSerializerTest() - Constructor for class org.deeplearning4j.util.ModelSerializerTest
-
- ModelState - Class in org.deeplearning4j.ui.flow.beans
-
- ModelState() - Constructor for class org.deeplearning4j.ui.flow.beans.ModelState
-
- modelUri - Variable in class org.deeplearning4j.streaming.routes.DL4jServeRouteBuilder
-
- ModelUtils<T extends SequenceElement> - Interface in org.deeplearning4j.models.embeddings.reader
-
Instances implementing this interface should be responsible for utility access to SequenceVectors model
- modelUtils - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
-
- modelUtils(ModelUtils<VocabWord>) - Method in class org.deeplearning4j.models.glove.Glove.Builder
-
Sets ModelUtils that gonna be used as provider for utility methods: similarity(), wordsNearest(), accuracy(), etc
- modelUtils(ModelUtils<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
-
Deprecated.
- modelUtils(ModelUtils<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
-
Sets ModelUtils that gonna be used as provider for utility methods: similarity(), wordsNearest(), accuracy(), etc
- modelUtils - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
- modelUtils(ModelUtils<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
-
ModelUtils implementation, that will be used to access model.
- modelUtils(ModelUtils<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
-
Sets ModelUtils that gonna be used as provider for utility methods: similarity(), wordsNearest(), accuracy(), etc
- module() - Static method in class org.deeplearning4j.ui.providers.ObjectMapperProvider
-
- momentum(double) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
-
Momentum rate.
- momentum - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
- momentum(double) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
-
Momentum rate.
- momentum - Variable in class org.deeplearning4j.nn.conf.layers.Layer
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- momentum - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
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- momentum(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
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- MOMENTUM - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayerTest
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- momentum - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
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- momentum - Variable in class org.deeplearning4j.plot.BarnesHutTsne
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- momentum - Variable in class org.deeplearning4j.plot.Tsne.Builder
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- momentum - Variable in class org.deeplearning4j.plot.Tsne
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- momentumAfter(Map<Integer, Double>) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
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Momentum schedule.
- momentumAfter - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
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- momentumAfter(Map<Integer, Double>) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
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Momentum schedule.
- momentumAfter(Map<Integer, Double>) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
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Momentum schedule.
- momentumSchedule - Variable in class org.deeplearning4j.nn.conf.layers.Layer
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- momentumSchedule - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
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- momentumSchedule - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
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- movingAverage(INDArray, int) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
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Calculate a moving average given the length
- MovingWindowBaseDataSetIterator - Class in org.deeplearning4j.datasets.iterator
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DataSetIterator for moving window (rotating matrices)
- MovingWindowBaseDataSetIterator(int, int, DataSet, int, int) - Constructor for class org.deeplearning4j.datasets.iterator.MovingWindowBaseDataSetIterator
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- MovingWindowDataSetFetcher - Class in org.deeplearning4j.datasets.iterator.impl
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Moving window data fetcher.
- MovingWindowDataSetFetcher(DataSet, int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MovingWindowDataSetFetcher
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- MovingWindowMatrix - Class in org.deeplearning4j.util
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Moving window on a matrix (usually used for images)
Given a: This is a list of flattened arrays:
1 1 1 1 1 1 2 2
2 2 2 2 ----> 1 1 2 2
3 3 3 3 3 3 4 4
4 4 4 4 3 3 4 4
- MovingWindowMatrix(INDArray, int, int, boolean) - Constructor for class org.deeplearning4j.util.MovingWindowMatrix
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- MovingWindowMatrix(INDArray, int, int) - Constructor for class org.deeplearning4j.util.MovingWindowMatrix
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Same as calling new MovingWindowMatrix(toSlice,windowRowSize,windowColumnSize,false)
- MovingWindowMatrixTest - Class in org.deeplearning4j.util
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Created by agibsonccc on 6/11/14.
- MovingWindowMatrixTest() - Constructor for class org.deeplearning4j.util.MovingWindowMatrixTest
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- MultiDataSetExportFunction - Class in org.deeplearning4j.spark.data
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A function (used in forEachPartition) to save MultiDataSet objects to disk/HDFS.
- MultiDataSetExportFunction(URI) - Constructor for class org.deeplearning4j.spark.data.MultiDataSetExportFunction
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- MultiDataSetIteratorAdapter - Class in org.deeplearning4j.datasets.iterator.impl
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Iterator that adapts a DataSetIterator to a MultiDataSetIterator
- MultiDataSetIteratorAdapter(DataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
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- MultiDataSetProviderFactory - Interface in org.deeplearning4j.parallelism.main
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Creates an MultiDataSetIterator
- MultiDimensionalMap<K,T,V> - Class in org.deeplearning4j.util
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Multiple key map
- MultiDimensionalMap(Map<Pair<K, T>, V>) - Constructor for class org.deeplearning4j.util.MultiDimensionalMap
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- MultiDimensionalMap.Entry<K,T,V> - Class in org.deeplearning4j.util
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- MultiDimensionalSet<K,V> - Class in org.deeplearning4j.util
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Created by agibsonccc on 4/29/14.
- MultiDimensionalSet(Set<Pair<K, V>>) - Constructor for class org.deeplearning4j.util.MultiDimensionalSet
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- MultiLayerConfiguration - Class in org.deeplearning4j.nn.conf
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Configuration for a multi layer network
- MultiLayerConfiguration() - Constructor for class org.deeplearning4j.nn.conf.MultiLayerConfiguration
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- MultiLayerConfiguration.Builder - Class in org.deeplearning4j.nn.conf
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- MultiLayerNetwork - Class in org.deeplearning4j.nn.multilayer
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MultiLayerNetwork is a neural network with multiple layers in a stack, and usually an output layer.
- MultiLayerNetwork(MultiLayerConfiguration) - Constructor for class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
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- MultiLayerNetwork(String, INDArray) - Constructor for class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
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Initialize the network based on the configuration
- MultiLayerNetwork(MultiLayerConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
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Initialize the network based on the configuraiton
- MultiLayerNeuralNetConfigurationTest - Class in org.deeplearning4j.nn.conf
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Created by agibsonccc on 11/27/14.
- MultiLayerNeuralNetConfigurationTest() - Constructor for class org.deeplearning4j.nn.conf.MultiLayerNeuralNetConfigurationTest
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- MultiLayerTest - Class in org.deeplearning4j.nn.multilayer
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Created by agibsonccc on 12/27/14.
- MultiLayerTest() - Constructor for class org.deeplearning4j.nn.multilayer.MultiLayerTest
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- MultiLayerTestRNN - Class in org.deeplearning4j.nn.multilayer
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- MultiLayerTestRNN() - Constructor for class org.deeplearning4j.nn.multilayer.MultiLayerTestRNN
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- MultiLayerUpdater - Class in org.deeplearning4j.nn.updater
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MultiLayerUpdater: Gradient updater for MultiLayerNetworks.
- MultiLayerUpdater(MultiLayerNetwork) - Constructor for class org.deeplearning4j.nn.updater.MultiLayerUpdater
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- MultiLayerUpdater(MultiLayerNetwork, INDArray) - Constructor for class org.deeplearning4j.nn.updater.MultiLayerUpdater
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- MultiLayerUtil - Class in org.deeplearning4j.util
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Various cooccurrences for manipulating a multi layer network
- MultiNeuralNetConfLayerBuilderTest - Class in org.deeplearning4j.nn.conf
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- MultiNeuralNetConfLayerBuilderTest() - Constructor for class org.deeplearning4j.nn.conf.MultiNeuralNetConfLayerBuilderTest
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- multiPartUpload(File, String) - Method in class org.deeplearning4j.aws.s3.uploader.S3Uploader
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Multi part upload for big files
- MultipleEpochsIterator - Class in org.deeplearning4j.datasets.iterator
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A dataset iterator for doing multiple passes over a dataset
- MultipleEpochsIterator(int, DataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
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- MultipleEpochsIterator(int, DataSetIterator, int) - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
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- MultipleEpochsIterator(DataSetIterator, int, long) - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
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- MultipleEpochsIterator(DataSetIterator, long) - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
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- MultipleEpochsIterator(int, DataSet) - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
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- MultipleEpochsIteratorTest - Class in org.deeplearning4j.datasets.iterator
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- MultipleEpochsIteratorTest() - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIteratorTest
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- MultiThreadedTokenizerTest - Class in com.atilika.kuromoji.ipadic
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- MultiThreadedTokenizerTest() - Constructor for class com.atilika.kuromoji.ipadic.MultiThreadedTokenizerTest
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- MultiThreadUtils - Class in org.deeplearning4j.util
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- MutipleEpochsSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
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This SentenceIterator implemenation wraps existing sentence iterator, and resets it numEpochs times
This class is usable for tests purposes mostly.
- MutipleEpochsSentenceIterator(SentenceIterator, int) - Constructor for class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
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- MutipleEpochsSentenceIteratorTest - Class in org.deeplearning4j.text.sentenceiterator
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- MutipleEpochsSentenceIteratorTest() - Constructor for class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIteratorTest
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- MyCustomPreprocessor - Class in org.deeplearning4j.nn.conf.preprocessor.custom
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Created by Alex on 09/09/2016.
- MyCustomPreprocessor() - Constructor for class org.deeplearning4j.nn.conf.preprocessor.custom.MyCustomPreprocessor
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- MyMethod<I,O> - Interface in org.deeplearning4j.berkeley
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A function wrapping interface.