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Functions1,161 in github.com/deeplearning4j/deeplearning4j-examples

⨍ Functions 1,161◇ Types & classes 341
↓ 1 callersMethodloadFeaturesFromString
Used post training to convert a String to a features INDArray that can be passed to the network output method @param reviewContents Contents of the r
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/textclassification/customcorpusword2vec/NewsIterator.java:209
↓ 1 callersMethodloadModel
(String filepath)
tensorflow-keras-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/tf/quickstart/MNISTMLP.java:50
↓ 1 callersMethodloadModel
(String filepath)
tensorflow-keras-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/tf/quickstart/BostonHousingPricesModel.java:42
↓ 1 callersMethodloadModel
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/styletransfer/NeuralStyleTransfer.java:395
↓ 1 callersMethodloadStats
()
tensorflow-keras-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/tf/quickstart/BostonHousingPricesModel.java:56
↓ 1 callersMethodlogAnimals
(Map<Integer,Map<String,Object>> animals)
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/dataExamples/BasicCSVClassifier.java:127
↓ 1 callersMethodlogAnimals
(Map<Integer, Map<String, Object>> animals)
dl4j-examples/src/main/java/org/deeplearning4j/examples/wip/quickstart/modelling/AnimalClassifier.java:152
↓ 1 callersMethodmain
(String[] args)
tensorflow-keras-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/tf/advanced/mobilenet/ImportMobileNetExample.java:24
↓ 1 callersMethodmain
(String...args)
tensorflow-keras-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/tf/advanced/tfgraphrunnerinjava/TFGraphRunnerExample.java:43
↓ 1 callersMethodmain
(String[] args)
tensorflow-keras-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/tf/quickstart/MNISTMLP.java:97
↓ 1 callersMethodmain
(String[] args)
tensorflow-keras-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/keras/quickstart/SimpleSequentialMlpImport.java:73
↓ 1 callersMethodmain
(String[] args)
tensorflow-keras-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/keras/quickstart/SimpleFunctionalMlpImport.java:75
↓ 1 callersMethodmain
(String[] args)
samediff-examples/src/main/java/org/nd4j/examples/samediff/quickstart/modeling/MNISTCNN.java:81
↓ 1 callersMethodmain
(String[] args)
samediff-examples/src/main/java/org/nd4j/examples/samediff/quickstart/basics/Ex1_SameDiff_Basics.java:44
↓ 1 callersMethodmain
(String[] args)
samediff-examples/src/main/java/org/nd4j/examples/samediff/quickstart/basics/Ex2_LinearRegression.java:47
↓ 1 callersMethodmain
(String[] args)
samediff-examples/src/main/java/org/nd4j/examples/samediff/quickstart/basics/Ex3_Variables.java:38
↓ 1 callersMethodmain
(String...args)
onnx-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/onnx/OnnxImportLoad.java:46
↓ 1 callersMethodmain
(String...args)
onnx-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/onnx/OnnxImportSave.java:49
↓ 1 callersMethodmain
(String[] args)
nd4j-ndarray-examples/src/main/java/org/nd4j/examples/advanced/lowlevelmodeling/MultiClassLogitExample.java:60
↓ 1 callersMethodmain
(String[] args)
nd4j-ndarray-examples/src/main/java/org/nd4j/examples/advanced/memoryoptimization/WorkspacesExample.java:49
↓ 1 callersMethodmain
(String[] args)
nd4j-ndarray-examples/src/main/java/org/nd4j/examples/advanced/operations/CustomOpsExamples.java:37
↓ 1 callersMethodmain
(String [] args)
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/features/transferlearning/editlastlayer/presave/FeaturizedPreSave.java:47
↓ 1 callersMethodmain
(String[] args)
dl4j-examples/src/main/java/org/deeplearning4j/examples/quickstart/modeling/convolution/LeNetMNIST.java:54
↓ 1 callersMethodmakeAnimalsForTesting
take the dataset loaded for the matric and make the record model out of it so we can correlate the fitted classifier to the record. @param testData @
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/dataExamples/BasicCSVClassifier.java:185
↓ 1 callersMethodmakeAnimalsForTesting
take the dataset loaded for the matric and make the record model out of it so we can correlate the fitted classifier to the record.
dl4j-examples/src/main/java/org/deeplearning4j/examples/wip/quickstart/modelling/AnimalClassifier.java:198
↓ 1 callersMethodmakeMapFromChannelToInstrumentToListOfNotes
(List<Note> notes)
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/charmodelling/melodl4j/MidiMelodyExtractor.java:488
↓ 1 callersMethodmakeMelodyStringsFileFromMidiIfNecessary
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/charmodelling/melodl4j/MelodyModelingExample.java:338
↓ 1 callersMethodmakeParagraphVectors
()
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/nlp/paragraphvectors/ParagraphVectorsClassifierExample.java:68
↓ 1 callersMethodmakeParagraphVectors
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/embeddingsfromcorpus/paragraphvectors/ParagraphVectorsClassifierExample.java:92
↓ 1 callersMethodmakeSequence
(List<Note> ns, int instrumentNumber)
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/charmodelling/melodl4j/PlayMelodyStrings.java:447
↓ 1 callersMethodmapFromOneHot
(int[] toMap)
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/seq2seq/CustomSequenceIterator.java:273
↓ 1 callersMethodmaxIndex
find the maximum item index. This is used when the data is fitted and we want to determine which class to assign the test row to @param vals @return
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/dataExamples/BasicCSVClassifier.java:167
↓ 1 callersMethodmaxIndex
find the maximum item index. This is used when the data is fitted and we want to determine which class to assign the test row to
dl4j-examples/src/main/java/org/deeplearning4j/examples/wip/quickstart/modelling/AnimalClassifier.java:183
↓ 1 callersMethodnext
(int sampleSize)
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/recurrent/seq2seq/CustomSequenceIterator.java:69
↓ 1 callersMethodnext
(int num)
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/recurrent/word2vecsentiment/SentimentExampleIterator.java:69
↓ 1 callersMethodnextDataSet
(int num)
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/recurrent/word2vecsentiment/SentimentExampleIterator.java:79
↓ 1 callersMethodnextDataSet
(int num)
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/textclassification/pretrainedword2vec/SentimentExampleIterator.java:99
↓ 1 callersMethodnextDataSet
(int num)
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/textclassification/customcorpusword2vec/NewsIterator.java:120
↓ 1 callersMethodnextMacroBatch
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/wip/advanced/modelling/encoderdecoder/CorpusIterator.java:167
↓ 1 callersMethodnextThrows
(int num)
dl4j-examples/src/main/java/org/deeplearning4j/examples/wip/advanced/modelling/mixturedensitynetwork/GaussianMixtureIterator.java:79
↓ 1 callersMethodnoteListIsTooBoring
(List<Note> notes)
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/charmodelling/melodl4j/MidiMelodyExtractor.java:290
↓ 1 callersMethodoneHotEncoding
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/seq2seq/CustomSequenceIterator.java:288
↓ 1 callersMethodoverlapProportion
(Note note1, Note note2)
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/charmodelling/melodl4j/MidiMelodyExtractor.java:541
↓ 1 callersMethodoverlapsANoteWithAHigherNoteIndexStrict
(Note note, List<Note> notes, int notesIndexOfNote)
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/charmodelling/melodl4j/MidiMelodyExtractor.java:578
↓ 1 callersMethodoverrideIteratorsToPlaceholders
These are op import overrides. We skip the IteratorGetNext node and instead create placeholders.
tensorflow-keras-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/tf/advanced/bert/BertInferenceExample.java:193
↓ 1 callersMethodparseSingle
(List<String> lines)
dl4j-distributed-training-examples/src/main/java/org/deeplearning4j/distributedtrainingexamples/patent/preprocessing/LegacyFormatPatentParser.java:96
↓ 1 callersMethodparseSingle
Parse a SINGLE patent @param str Single patent
dl4j-distributed-training-examples/src/main/java/org/deeplearning4j/distributedtrainingexamples/patent/preprocessing/JSoupXmlParser.java:85
↓ 1 callersMethodplot
(final MathFunction function, final INDArray x, final INDArray y, final INDArray... predicted)
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/feedforward/regression/RegressionMathFunctions.java:126
↓ 1 callersMethodplot
(final MathFunction function, final INDArray x, final INDArray y, final INDArray... predicted)
dl4j-examples/src/main/java/org/deeplearning4j/examples/quickstart/modeling/feedforward/regression/MathFunctionsModel.java:145
↓ 1 callersMethodplotData
(List<INDArray> xyVsIter, INDArray labels, double axisMin, double axisMax, int plotFrequency)
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/unsupervised/variational/plot/PlotUtil.java:30
↓ 1 callersMethodplotData
(List<INDArray> xyVsIter, INDArray labels, double axisMin, double axisMax, int plotFrequency)
dl4j-examples/src/main/java/org/deeplearning4j/examples/utils/VAEPlotUtil.java:102
↓ 1 callersMethodplotDataset
Generate an xy plot of the datasets provided.
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/recurrent/regression/SingleTimestepRegressionExample.java:153
↓ 1 callersMethodplotDataset
Generate an xy plot of the datasets provided.
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/recurrent/regression/MultiTimestepRegressionExample.java:219
↓ 1 callersMethodpopulateData
(boolean train)
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/textclassification/customcorpusword2vec/NewsIterator.java:233
↓ 1 callersMethodpredict
(INDArray arr)
tensorflow-keras-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/tf/quickstart/BostonHousingPricesModel.java:100
↓ 1 callersMethodpredict
Binary logistic regression. Computes the probability that one example is a certain type of flower. Can compute a batch of examples at a time, i.e. a
nd4j-ndarray-examples/src/main/java/org/nd4j/examples/advanced/lowlevelmodeling/MultiClassLogitExample.java:200
↓ 1 callersMethodpredictLabels
Label prediction. Maximum a posteriori probability estimate. For each example: run N independent predictions (one for each class) and return the one
nd4j-ndarray-examples/src/main/java/org/nd4j/examples/advanced/lowlevelmodeling/MultiClassLogitExample.java:292
↓ 1 callersMethodpredictionToLabel
(INDArray prediction)
tensorflow-keras-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/tf/quickstart/MNISTMLP.java:92
↓ 1 callersMethodprepareInterface
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/wip/advanced/modelling/detectgender/PredictGenderTest.java:60
↓ 1 callersMethodprepareTestData
(String i_news)
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/textclassification/customcorpusword2vec/TestNews.java:185
↓ 1 callersMethodprepareTrainAndTest
This method shows how you based on a CSV file can preprocess your data the structure expected for a multi time step problem. This examples uses a sing
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/recurrent/regression/MultiTimestepRegressionExample.java:256
↓ 1 callersMethodprocessCifar10Images
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/wip/quickstart/features/knn/NearestNeighbor.java:60
↓ 1 callersMethodprocessRecursively
(File file, PrintStream melodiesPrintStream)
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/charmodelling/melodl4j/MidiMelodyExtractor.java:610
↓ 1 callersMethodprocessTracks
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/charmodelling/melodl4j/MidiMelodyExtractor.java:333
↓ 1 callersMethodproportionOfNotesThatAreRepeatsOfPreviousNote
(final List<Note> notes)
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/charmodelling/melodl4j/MidiMelodyExtractor.java:205
↓ 1 callersMethodreadCSVDataset
Read a CSV file into a dataset. Use the correct constructor: DataSet ds = new RecordReaderDataSetIterator(rr,batchSize); returns the data as follows:
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/dataExamples/CSVPlotter.java:133
↓ 1 callersMethodreadCSVDataset
Read a CSV file into a dataset. <p> Use the correct constructor: DataSet ds = new RecordReaderDataSetIterator(rr,batchSize); returns the data as follo
dl4j-examples/src/main/java/org/deeplearning4j/examples/quickstart/modeling/feedforward/regression/CSVDataModel.java:158
↓ 1 callersMethodreadPlaceholdersAndPredictions
()
tensorflow-keras-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/tf/quickstart/ModifyMNISTMLP.java:113
↓ 1 callersMethodreadStringsFromFile
(String filePath)
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/charmodelling/melodl4j/PlayMelodyStrings.java:211
↓ 1 callersMethodreadTrainingData
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/wip/quickstart/features/knn/NearestNeighbor.java:103
↓ 1 callersMethodremove
()
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/recurrent/character/CharacterIterator.java:230
↓ 1 callersMethodremoveHardCodedDropOutOps
Modify the network to remove hard-coded dropout operations for inference. Tensorflow/BERT's dropout is implemented as a set of discrete operations - r
tensorflow-keras-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/tf/advanced/bert/BertInferenceExample.java:218
↓ 1 callersMethodreset
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/wip/advanced/modelling/mixturedensitynetwork/GaussianMixtureIterator.java:136
↓ 1 callersMethodreset
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/wip/advanced/modelling/detectgender/GenderRecordReader.java:233
↓ 1 callersMethodreset
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/captcharecognition/dataclasses/MulRecordDataLoader.java:133
↓ 1 callersMethodreset
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/sequenceanomalydetection/AnomalyDataSetIterator.java:92
↓ 1 callersMethodresourceMD5
@return MD5 of the resource at getURL()
tensorflow-keras-import-examples/src/main/java/org/deeplearning4j/modelimportexamples/util/BaseLabels.java:130
↓ 1 callersMethodrun
(String[] args)
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/convolution/AnimalsClassification.java:85
↓ 1 callersMethodrun
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/wip/advanced/modelling/detectgender/PredictGenderTest.java:124
↓ 1 callersMethodrun
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/wip/advanced/modelling/encoderdecoder/EncoderDecoderLSTM.java:212
↓ 1 callersMethodrunFeaturize
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/features/transferlearning/iterators/FlowerDataSetIteratorFeaturized.java:52
↓ 1 callersMethodrunInitialTests
()
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/misc/customlayers/CustomLayerExample.java:50
↓ 1 callersMethodrunInitialTests
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/features/customizingdl4j/layers/CustomLayerUsageEx.java:67
↓ 1 callersMethodsampleCharactersFromNetwork
Generate a sample from the network, given an (optional, possibly null) initialization. Initialization can be used to 'prime' the RNN with a sequence y
oreilly-book-dl4j-examples/dl4j-spark-examples/dl4j-spark/src/main/java/org/deeplearning4j/rnn/SparkLSTMCharacterExample.java:274
↓ 1 callersMethodsampleCharactersFromNetwork
Generate a sample from the network, given an (optional, possibly null) initialization. Initialization can be used to 'prime' the RNN with a sequence y
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/recurrent/character/CompGraphLSTMExample.java:125
↓ 1 callersMethodsampleCharactersFromNetwork
Generate a sample from the network, given an (optional, possibly null) initialization. Initialization can be used to 'prime' the RNN with a sequence y
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/recurrent/character/LSTMCharModellingExample.java:152
↓ 1 callersMethodsampleCharactersFromNetwork
Generate a sample from the network, given an (optional, possibly null) initialization. Initialization can be used to 'prime' the RNN with a sequence y
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/charmodelling/generatetext/GenerateTxtModel.java:166
↓ 1 callersMethodsampleCharactersFromNetwork
Generate a sample from the network, given an (optional, possibly null) initialization. Initialization can be used to 'prime' the RNN with a sequence y
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/charmodelling/generatetext/GenerateTxtCharCompGraphModel.java:148
↓ 1 callersMethodsampleFromDistribution
Given a probability distribution over discrete classes, sample from the distribution and return the generated class index. @param distribution Probab
oreilly-book-dl4j-examples/dl4j-spark-examples/dl4j-spark/src/main/java/org/deeplearning4j/rnn/SparkLSTMCharacterExample.java:329
↓ 1 callersMethodsampleFromDistribution
Given a probability distribution over discrete classes, sample from the distribution and return the generated class index. @param distribution Probabi
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/charmodelling/generatetext/GenerateTxtModel.java:216
↓ 1 callersMethodsampleFromDistribution
Given a probability distribution over discrete classes, sample from the distribution and return the generated class index. @param distribution Probab
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/charmodelling/melodl4j/MelodyModelingExample.java:438
↓ 1 callersMethodsanityCheck1
()
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/charmodelling/melodl4j/TestMelodyConversion.java:66
↓ 1 callersMethodsaveEvaluation
(boolean train, IEvaluation[] evaluations)
dl4j-distributed-training-examples/src/main/java/org/deeplearning4j/distributedtrainingexamples/patent/LocalTraining.java:234
↓ 1 callersMethodsaveImage
(INDArray combination, int iteration)
dl4j-examples/src/main/java/org/deeplearning4j/examples/advanced/modelling/styletransfer/NeuralStyleTransfer.java:403
↓ 1 callersMethodsaveModel
(File networkFile)
dl4j-examples/src/main/java/org/deeplearning4j/examples/wip/advanced/modelling/encoderdecoder/EncoderDecoderLSTM.java:358
↓ 1 callersMethodscatterPlot
(List<Pair<INDArray,INDArray>> data, List<Integer> epochCounts, String title )
dl4j-examples/src/main/java/org/deeplearning4j/examples/utils/VAEPlotUtil.java:51
↓ 1 callersMethodsetCurrentBatch
(int currentBatch)
dl4j-examples/src/main/java/org/deeplearning4j/examples/wip/advanced/modelling/encoderdecoder/CorpusIterator.java:158
↓ 1 callersMethodsetFittedClassifiers
(INDArray output, Map<Integer,Map<String,Object>> animals)
oreilly-book-dl4j-examples/dl4j-examples/src/main/java/org/deeplearning4j/examples/dataExamples/BasicCSVClassifier.java:132
↓ 1 callersMethodsetFittedClassifiers
(INDArray output, Map<Integer, Map<String, Object>> animals)
dl4j-examples/src/main/java/org/deeplearning4j/examples/wip/quickstart/modelling/AnimalClassifier.java:157
↓ 1 callersMethodsetListener
(OnTrainingUpdateEventListener listener)
android-examples/app/src/main/java/org/deeplearning4j/examples/androidclassifier/TrainingTask.java:47
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