Functions — github.com/Daniel-Liu-c0deb0t/Java-Machine-Learning

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Functions306 in github.com/Daniel-Liu-c0deb0t/Java-Machine-Learning

⨍ Functions 306◇ Types & classes 65

↓ 80 callersMethodadd

(Tensor o)

src/javamachinelearning/utils/Tensor.java:135

↓ 72 callersMethodt

(double... vals)

src/javamachinelearning/utils/TensorUtils.java:5

↓ 70 callersMethodadd

(Layer l)

src/javamachinelearning/networks/SequentialNN.java:36

↓ 55 callersMethodshape

()

src/javamachinelearning/utils/Tensor.java:123

↓ 53 callersMethodget

(int idx)

src/javamachinelearning/utils/Tensor.java:329

↓ 50 callersMethodsize

()

src/javamachinelearning/utils/Tensor.java:131

↓ 46 callersMethodmul

(Tensor o)

src/javamachinelearning/utils/Tensor.java:167

↓ 37 callersMethodflatGet

(int idx)

src/javamachinelearning/utils/Tensor.java:325

↓ 28 callersMethoddot

(Tensor o)

src/javamachinelearning/utils/Tensor.java:199

↓ 25 callersMethodsub

(Tensor o)

src/javamachinelearning/utils/Tensor.java:151

↓ 21 callersMethoddiv

(Tensor o)

src/javamachinelearning/utils/Tensor.java:183

↓ 21 callersMethodoptimize

(Tensor grads, Tensor[] params)

src/javamachinelearning/optimizers/Optimizer.java:13

↓ 21 callersMethodpredict

(Tensor[] input)

src/javamachinelearning/networks/SequentialNN.java:41

↓ 20 callersMethodtoString

()

src/javamachinelearning/utils/Loss.java:15

↓ 18 callersMethodT

()

src/javamachinelearning/utils/Tensor.java:219

↓ 13 callersMethodderivative

(Tensor x, Tensor t)

src/javamachinelearning/utils/Loss.java:10

↓ 13 callersMethodextraParams

()

src/javamachinelearning/optimizers/Optimizer.java:10

↓ 13 callersMethodsize

()

src/javamachinelearning/networks/SequentialNN.java:28

↓ 12 callersMethodgetX

()

src/javamachinelearning/graphs/Point.java:21

↓ 12 callersMethodgetY

()

src/javamachinelearning/graphs/Point.java:25

↓ 11 callersMethodformat

(double num)

src/javamachinelearning/utils/Utils.java:10

↓ 11 callersMethodtrain

(Tensor[] input, Tensor[] target, int epochs, int batchSize, Loss loss, Optimizer optimizer, Regularizer regul

src/javamachinelearning/networks/SequentialNN.java:93

↓ 10 callersMethodargMax

(Tensor tensor)

src/javamachinelearning/utils/TensorUtils.java:47

↓ 10 callersMethodstandardDist

(double x, double y, double s, int n)

src/javamachinelearning/utils/Utils.java:168

↓ 9 callersMethoddraw

()

src/javamachinelearning/graphs/Graph.java:97

↓ 8 callersMethodcalcMult

()

src/javamachinelearning/utils/Tensor.java:356

↓ 8 callersMethodgetHeight

()

src/javamachinelearning/graphs/Graph.java:310

↓ 8 callersMethodgetWidth

()

src/javamachinelearning/graphs/Graph.java:306

↓ 8 callersMethodmap

(Function f)

src/javamachinelearning/utils/Tensor.java:242

↓ 7 callersMethodactivate

(Tensor t)

src/javamachinelearning/utils/Activation.java:5

↓ 7 callersMethodsaveToFile

(String path, String type)

src/javamachinelearning/graphs/Graph.java:254

↓ 6 callersMethoddispose

()

src/javamachinelearning/graphs/Graph.java:314

↓ 6 callersMethodinputShape

()

src/javamachinelearning/layers/recurrent/RecurrentCell.java:13

↓ 6 callersMethodloadDataSetImages

(String path, int num)

src/javamachinelearning/utils/MNISTUtils.java:13

↓ 6 callersMethodloadDataSetLabels

(String path, int num)

src/javamachinelearning/utils/MNISTUtils.java:37

↓ 6 callersMethodoneHot

(int idx, int size)

src/javamachinelearning/utils/TensorUtils.java:9

↓ 5 callersMethodconcat

(Tensor[]... tensors)

src/javamachinelearning/utils/Utils.java:177

↓ 5 callersMethodloss

(Tensor x, Tensor t)

src/javamachinelearning/utils/Loss.java:5

↓ 5 callersMethodmakeStr

(char c, int n)

src/javamachinelearning/utils/Utils.java:49

↓ 5 callersMethodreduce

(double init, Function2 f)

src/javamachinelearning/utils/Tensor.java:250

↓ 5 callersMethodreshapeAll

(Tensor[] tensors, int... shape)

src/javamachinelearning/utils/Utils.java:144

↓ 4 callersMethodclassificationAccuracy

(Tensor[] output, Tensor[] target)

src/javamachinelearning/utils/Utils.java:93

↓ 4 callersMethodflatten

()

src/javamachinelearning/utils/Tensor.java:234

↓ 4 callersMethodforwardPropagate

(Tensor input, boolean training)

src/javamachinelearning/layers/Layer.java:9

↓ 4 callersMethodloadFromFile

(String path)

src/javamachinelearning/networks/SequentialNN.java:215

↓ 4 callersMethodmult

()

src/javamachinelearning/utils/Tensor.java:127

↓ 4 callersMethodoneHotString

(String s, String alphabet)

src/javamachinelearning/utils/TensorUtils.java:15

↓ 4 callersMethodsetWeights

(Tensor w)

src/javamachinelearning/layers/feedforward/FeedForwardParamsLayer.java:13

↓ 4 callersMethoduseCustomScale

(double minX, double maxX, double minY, double maxY)

src/javamachinelearning/graphs/Graph.java:85

↓ 3 callersMethodapply

(double x)

src/javamachinelearning/utils/Tensor.java:349

↓ 3 callersMethodcenterData

(double[][] arr, int width, int height)

src/javamachinelearning/utils/Utils.java:152

↓ 3 callersMethodflattenAll

(Tensor[] tensors)

src/javamachinelearning/utils/Utils.java:136

↓ 3 callersMethodformatElapsedTime

(long ms)

src/javamachinelearning/utils/Utils.java:18

↓ 3 callersMethodgetColor

(double x, double y)

src/javamachinelearning/graphs/Graph.java:319

↓ 3 callersMethodgetPoints

()

src/javamachinelearning/graphs/LineGraph.java:20

↓ 3 callersMethodreadColorImageFile

(String path)

src/javamachinelearning/utils/ImageUtils.java:22

↓ 3 callersMethodreshape

(int... s)

src/javamachinelearning/utils/Tensor.java:238

↓ 3 callersMethodsaveToFile

(String path)

src/javamachinelearning/networks/SequentialNN.java:195

↓ 3 callersMethodstack

(Tensor... tensors)

src/javamachinelearning/utils/TensorUtils.java:59

↓ 3 callersMethodweights

()

src/javamachinelearning/layers/feedforward/FeedForwardParamsLayer.java:11

↓ 2 callersMethodaddLineGraph

(double[] xs, double[] ys)

src/javamachinelearning/graphs/Graph.java:278

↓ 2 callersMethodaddPoint

(double x, double y, Color c)

src/javamachinelearning/graphs/Graph.java:262

↓ 2 callersMethodclone

()

src/javamachinelearning/utils/Tensor.java:366

↓ 2 callersMethodconvertRGBtoGray

(int[][][] colorImg)

src/javamachinelearning/utils/ImageUtils.java:53

↓ 2 callersMethodflatCombine

(Tensor... tensors)

src/javamachinelearning/utils/Utils.java:119

↓ 2 callersMethodgetB

()

src/javamachinelearning/graphs/Line.java:25

↓ 2 callersMethodgetM

()

src/javamachinelearning/graphs/Line.java:21

↓ 2 callersMethodlayer

(int idx)

src/javamachinelearning/networks/SequentialNN.java:32

↓ 2 callersMethodnoBias

()

src/javamachinelearning/layers/ParamsLayer.java:10

↓ 2 callersMethodoutputShape

()

src/javamachinelearning/networks/NeuralNetwork.java:9

↓ 2 callersMethodoutputShape

()

src/javamachinelearning/layers/recurrent/RecurrentCell.java:12

↓ 2 callersMethodreadColorImageToTensor

(String path, boolean convertGray)

src/javamachinelearning/utils/ImageUtils.java:75

↓ 2 callersMethodshorterFormat

(double num)

src/javamachinelearning/utils/Utils.java:14

↓ 2 callersMethodunsignedByteToInt

(byte b)

src/javamachinelearning/utils/Utils.java:55

↓ 2 callersMethodupdate

(Optimizer optimizer, Regularizer regularizer)

src/javamachinelearning/layers/ParamsLayer.java:12

↓ 1 callersMethodaddLine

(double m, double b, Color c)

src/javamachinelearning/graphs/Graph.java:270

↓ 1 callersMethodapply

(int epoch, double loss)

src/javamachinelearning/networks/SupervisedNeuralNetwork.java:15

↓ 1 callersMethodbackPropagate

(Tensor[] result, Tensor error)

src/javamachinelearning/networks/SequentialNN.java:168

↓ 1 callersMethodbackPropagate

(Tensor input, Tensor output, Tensor error)

src/javamachinelearning/layers/Layer.java:10

↓ 1 callersMethodbackPropagate

(int t, Tensor input, Tensor prevState, Tensor error)

src/javamachinelearning/layers/recurrent/RecurrentCell.java:17

↓ 1 callersMethodbias

()

src/javamachinelearning/layers/feedforward/FeedForwardParamsLayer.java:10

↓ 1 callersMethodbyteSize

()

src/javamachinelearning/layers/ParamsLayer.java:13

↓ 1 callersMethodbyteSize

()

src/javamachinelearning/layers/feedforward/FCLayer.java:165

↓ 1 callersMethodbyteSize

()

src/javamachinelearning/layers/feedforward/ConvLayer.java:321

↓ 1 callersMethodbyteSize

()

src/javamachinelearning/layers/recurrent/RecurrentLayer.java:167

↓ 1 callersMethodbyteSize

()

src/javamachinelearning/layers/recurrent/GRUCell.java:256

↓ 1 callersMethodbyteSize

()

src/javamachinelearning/layers/recurrent/RecurrentCell.java:19

↓ 1 callersMethodbytes

()

src/javamachinelearning/layers/ParamsLayer.java:14

↓ 1 callersMethodbytes

()

src/javamachinelearning/layers/recurrent/RecurrentCell.java:20

↓ 1 callersMethodcenterOfMass

(double[][] arr)

src/javamachinelearning/utils/Utils.java:103

↓ 1 callersMethodclear

()

src/javamachinelearning/drawables/MNISTDrawablePanel2.java:62

↓ 1 callersMethodclear

()

src/javamachinelearning/drawables/MNISTDrawablePanel.java:101

↓ 1 callersMethoddecodeString

(Tensor val, boolean rand, String alphabet)

src/javamachinelearning/utils/TensorUtils.java:24

↓ 1 callersMethoddupFirst

(int length)

src/javamachinelearning/utils/Tensor.java:304

↓ 1 callersMethodforwardPropagate

(int t, Tensor input, Tensor prevState, boolean training)

src/javamachinelearning/layers/recurrent/RecurrentCell.java:15

↓ 1 callersMethodgetColor

()

src/javamachinelearning/graphs/Point.java:29

↓ 1 callersMethodgetColor

()

src/javamachinelearning/graphs/LineGraph.java:24

↓ 1 callersMethodgetData

(int outputX2, int outputY2)

src/javamachinelearning/drawables/MNISTDrawablePanel2.java:52

↓ 1 callersMethodgetData

(int outputX1, int outputY1, int outputX2, int outputY2)

src/javamachinelearning/drawables/MNISTDrawablePanel.java:53

↓ 1 callersMethodgetGraph

()

src/javamachinelearning/graphs/Graph.java:302

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