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Functions759 in github.com/andymatuschak/scrying-pen

⨍ Functions 759◇ Types & classes 0
FunctionNDArrayInitializer
(ndarray)
lib/deeplearn.js:5239
FunctionNDArrayMath
(backend, safeMode)
lib/deeplearn.js:10773
FunctionNDArrayMathCPU
(safeMode)
lib/deeplearn.js:6728
FunctionNDArrayMathGPU
(gpgpu, safeMode)
lib/deeplearn.js:7659
FunctionNb
(a)
lib/p5.min.js:3
FunctionNc
(b)
lib/p5.min.js:3
FunctionNd
(b,c,d,e,f,g)
lib/p5.min.js:3
FunctionNode
(graph, name, inputs, output)
lib/deeplearn.js:1904
FunctionOb
(a)
lib/p5.min.js:3
FunctionOc
(b,c)
lib/p5.min.js:3
FunctionOd
(a)
lib/p5.min.js:3
FunctionOneHotProgram
(numIndices, depth, onValue, offValue)
lib/deeplearn.js:9243
FunctionOnesInitializer
()
lib/deeplearn.js:5215
FunctionOperation
()
lib/deeplearn.js:3524
FunctionOptimizer
(learningRate, specifiedVariableList)
lib/deeplearn.js:4201
FunctionPReLU
(xTensor, alphaTensor, yTensor)
lib/deeplearn.js:3062
FunctionPReLUNode
(graph, x, alpha)
lib/deeplearn.js:2229
FunctionPb
(a)
lib/p5.min.js:3
FunctionPc
(b)
lib/p5.min.js:3
FunctionPlaceholderNode
(graph, name, shape)
lib/deeplearn.js:1932
FunctionPool2DProgram
(convInfo, poolType, computePositions)
lib/deeplearn.js:9265
FunctionPriorityQueue
(comparator, indexObserver)
lib/deeplearn.js:4379
FunctionQb
(a)
lib/p5.min.js:3
FunctionQc
(b)
lib/p5.min.js:3
FunctionRMSPropOptimizer
(learningRate, gamma, specifiedVariableList)
lib/deeplearn.js:4268
FunctionRandomNormalInitializer
(mean, stdev)
lib/deeplearn.js:5249
FunctionRandomTruncatedNormalInitializer
(mean, stdev)
lib/deeplearn.js:5262
FunctionRandomUniformInitializer
(minval, maxval)
lib/deeplearn.js:5275
FunctionRb
(a,b)
lib/p5.min.js:3
FunctionRc
(b)
lib/p5.min.js:3
FunctionReLU
(xTensor, yTensor)
lib/deeplearn.js:3014
FunctionReLUFunc
()
lib/deeplearn.js:5313
FunctionReLUNode
(graph, x)
lib/deeplearn.js:2207
FunctionReduceProgram
(reduceInfo, reduceType)
lib/deeplearn.js:9311
FunctionReduceSum
(x, outTensor)
lib/deeplearn.js:3552
FunctionReduceSumNode
(graph, x)
lib/deeplearn.js:2086
FunctionRendererSVG
* @namespace RendererSVG * @constructor * @param {Element} elt canvas element to be replaced * @param {p5} pInst p5 Instance * @pa
lib/p5.svg.js:2094
FunctionReshape
(xTensor, yTensor)
lib/deeplearn.js:3601
FunctionReshapeNode
(graph, name, x, shape)
lib/deeplearn.js:1955
FunctionResizeBilinear3DProgram
(inputShape, outputDimensionsRowCol, alignCorners)
lib/deeplearn.js:9373
FunctionSGDOptimizer
(learningRate, specifiedVariableList)
lib/deeplearn.js:4333
FunctionSTEP
(alpha)
lib/deeplearn.js:10198
FunctionSVGCanvas
(options)
lib/p5.svg.js:1356
FunctionSVGElement
* @namespace SVGElement * @constructor * @param {Element} element
lib/p5.svg.js:1514
FunctionSVGFilters
()
lib/p5.svg.js:2257
FunctionSc
(b)
lib/p5.min.js:3
FunctionScalar
()
lib/deeplearn.js:12253
FunctionSession
(graph, math)
lib/deeplearn.js:4520
FunctionSigmoid
(xTensor, yTensor)
lib/deeplearn.js:3038
FunctionSigmoidFunc
()
lib/deeplearn.js:5340
FunctionSigmoidNode
(graph, x)
lib/deeplearn.js:2286
FunctionSketchRNN
* The sketch-rnn model. Please see README.md for documentation. * @class
lib/sketch_rnn.js:373
FunctionSliceProgram
(destSize)
lib/deeplearn.js:9733
FunctionSoftmax
(logitsTensor, output)
lib/deeplearn.js:3651
FunctionSoftmaxCrossEntropyCost
(logitsTensor, labelTensor, yTensor)
lib/deeplearn.js:3680
FunctionSoftmaxCrossEntropyCostNode
(graph, x, target)
lib/deeplearn.js:2306
FunctionSoftmaxNode
(graph, x)
lib/deeplearn.js:2323
FunctionSquare
(xTensor, yTensor)
lib/deeplearn.js:3046
FunctionSquareCostFunc
()
lib/deeplearn.js:10738
FunctionSquareFunc
()
lib/deeplearn.js:5356
FunctionSquareNode
(graph, x)
lib/deeplearn.js:2296
FunctionSubtract
(t1, t2, outTensor)
lib/deeplearn.js:3746
FunctionSubtractNode
(graph, t1, t2)
lib/deeplearn.js:2029
FunctionSummedTensorArrayMap
(math)
lib/deeplearn.js:4843
FunctionTa
(a,b)
lib/p5.min.js:2
FunctionTanH
(xTensor, yTensor)
lib/deeplearn.js:3030
FunctionTanHFunc
()
lib/deeplearn.js:5293
FunctionTanHNode
(graph, x)
lib/deeplearn.js:2276
FunctionTb
(a,b,c,d)
lib/p5.min.js:3
FunctionTc
(b)
lib/p5.min.js:3
FunctionTensor
(shape)
lib/deeplearn.js:1895
FunctionTensorArrayMap
()
lib/deeplearn.js:4832
FunctionTensorArrayMapBase
()
lib/deeplearn.js:4777
FunctionTextureManager
(gpgpu)
lib/deeplearn.js:10035
FunctionTileProgram
(aShape, reps)
lib/deeplearn.js:10112
FunctionTransposeProgram
(aShape, newDim)
lib/deeplearn.js:10148
FunctionUa
(a,b)
lib/p5.min.js:2
FunctionUb
(a,b)
lib/p5.min.js:3
FunctionUc
(b)
lib/p5.min.js:3
FunctionUd
(a,b)
lib/p5.min.js:4
FunctionUnaryOpProgram
(aShape, opSnippet)
lib/deeplearn.js:10180
FunctionVa
(a)
lib/p5.min.js:2
FunctionVariableNode
(graph, name, data)
lib/deeplearn.js:1918
FunctionVarianceScalingInitializer
(scale, mode, distribution)
lib/deeplearn.js:5169
FunctionVc
(b,c)
lib/p5.min.js:3
FunctionVd
(a,b,c)
lib/p5.min.js:4
FunctionWa
(a,b)
lib/p5.min.js:2
FunctionWc
(b,c)
lib/p5.min.js:3
FunctionXa
(a)
lib/p5.min.js:2
FunctionXb
(b,c)
lib/p5.min.js:3
FunctionXc
(b)
lib/p5.min.js:3
FunctionXhrDataset
(xhrDatasetConfig)
lib/deeplearn.js:1354
FunctionXorGen
(seed)
lib/deeplearn.js:188
FunctionYa
(a,b,c,d,e)
lib/p5.min.js:2
FunctionYb
(b,c)
lib/p5.min.js:3
FunctionYc
(b)
lib/p5.min.js:3
FunctionZ
(a,b)
lib/p5.min.js:2
FunctionZa
(a)
lib/p5.min.js:3
FunctionZb
(b,c)
lib/p5.min.js:3
FunctionZc
(b)
lib/p5.min.js:3
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