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Functions81 in github.com/dritchie/adnn

⨍ Functions 81◇ Types & classes 0
↓ 25 callersFunctionaddUnaryMethod
(name, fncode)
tensor.js:167
↓ 21 callersFunctionmakeUnaryDerivatives
(code)
ad/derivatives.js:8
↓ 15 callersFunctionaddBinaryMethod
(name, fncode)
tensor.js:183
↓ 8 callersFunctionmakeBinaryDerivatives
(code1, code2)
ad/derivatives.js:30
↓ 6 callersFunctionbackward
(derivFns)
ad/functions.js:23
↓ 5 callersFunctionaddReduction
(name, initcode, fncode)
tensor.js:216
↓ 5 callersFunctionfn
(input)
opt/optimize.js:128
↓ 4 callersFunctiontype
(struct)
opt/tensorStruct.js:16
↓ 3 callersFunctioncheckOutputType
(OutputType)
ad/func.js:9
↓ 3 callersFunctionlift
(adfn, optname)
nn/lifting.js:7
↓ 3 callersFunctionmap
(struct, fn)
opt/tensorStruct.js:41
↓ 2 callersFunctioncompile
(inputs, outputs, optname, optDebug)
nn/composition.js:119
↓ 2 callersFunctionmakeFunctions
(OutputType)
ad/functions.js:18
↓ 2 callersFunctionmakeOptimizable
(fn)
opt/optimize.js:39
↓ 2 callersFunctionmergeObjects
(tgt)
utils.js:27
↓ 2 callersFunctionoptimize
(fn, options)
opt/optimize.js:12
↓ 2 callersFunctionsequence
(networks, optname, optDebug)
nn/composition.js:237
↓ 1 callersFunctionTypedArrayBackingStore
(ArrayType)
tensor.js:8
↓ 1 callersFunctionadTrain
(fn, trainingData, lossFn, options)
opt/optimize.js:69
↓ 1 callersFunctioncompound
(fn, subnets, optname)
nn/composition.js:13
↓ 1 callersFunctiondoLift
(x, name)
ad/index.js:15
↓ 1 callersFunctionfromArrayRec
(tensor, coords, x)
tensor.js:137
↓ 1 callersFunctioninput
()
nn/composition.js:106
↓ 1 callersFunctionliftScalar
(x, name)
ad/index.js:13
↓ 1 callersFunctionliftTensor
(x, name)
ad/index.js:14
↓ 1 callersFunctionlinear
(nIn, nOut, optname)
nn/networks/linear.js:105
↓ 1 callersFunctionmaxpooling
(inImg, fW, fH, sX, sY, pX, pY)
nn/networks/pooling.js:121
↓ 1 callersFunctionminpooling
(inImg, fW, fH, sX, sY, pX, pY)
nn/networks/pooling.js:254
↓ 1 callersFunctiontoArrayRec
(tensor, coords)
tensor.js:122
FunctionASTNode
(type, parents)
nn/composition.js:71
FunctionCompoundNetwork
(subnets)
nn/composition.js:14
FunctionConstantParamNetwork
(dims, optname)
nn/networks/misc.js:8
FunctionConvolutionNetwork
(nIn, nOut, fW, fH, sX, sY, pX, pY, optname)
nn/networks/convolution.js:23
FunctionLayerwiseLinearNetwork
(nIn, nOut, optname)
nn/networks/linear.js:115
FunctionLinearNetwork
(nIn, nOut, optname)
nn/networks/linear.js:10
FunctionMaxPoolNetwork
(fW, fH, sX, sY, pX, pY)
nn/networks/pooling.js:13
FunctionMeanPoolNetwork
(fW, fH, sX, sY, pX, pY)
nn/networks/pooling.js:283
FunctionMinPoolNetwork
(fW, fH, sX, sY, pX, pY)
nn/networks/pooling.js:149
FunctionNetwork
()
nn/network.js:6
FunctionNode
(x, parents, inputs, backward, name)
ad/graph.js:6
FunctionScalarNode
(x, parents, inputs, backward, name)
ad/graph.js:71
FunctionSelectNetwork
(i)
nn/composition.js:80
FunctionTensor
(dims)
tensor.js:35
FunctionTensorNode
(x, parents, inputs, backward, name)
ad/graph.js:96
FunctionadOptimize
(fn, options)
opt/optimize.js:59
Functionadagrad
(options)
opt/methods.js:41
Functionadam
(options)
opt/methods.js:96
Functionbackward01
()
ad/func.js:73
Functionbackward10
()
ad/func.js:70
Functionbackward11
()
ad/func.js:66
FunctionbatchFn
()
opt/optimize.js:87
Functionbw
()
ad/func.js:31
FunctionclassificationLoss
(outputProbs, trueClassIndex)
opt/loss.js:8
FunctioncloneObject
(obj)
utils.js:38
Functionconstantparams
(dims, optname)
nn/networks/misc.js:38
Functionconvolution
(opts, optname)
nn/networks/convolution.js:202
Functiondeduplicate
(list)
utils.js:15
FunctionemptyLike
(struct)
opt/tensorStruct.js:30
FunctionfnToLift
(t)
nn/lifting.js:38
Functionfneq
(x)
tensor.js:203
Functionforeach
(struct, coIteratees, fn)
opt/tensorStruct.js:66
FunctiongaussianSample
(mu, sigma)
utils.js:3
FunctionlayerwiseLinear
(nIn, nOut, optname)
nn/networks/linear.js:235
FunctionliftBinaryFunction
(f)
ad/func.js:159
FunctionliftUnaryFunction
(f)
ad/func.js:156
Functionmaxpool
(opts)
nn/networks/pooling.js:136
Functionmeanpool
(opts)
nn/networks/pooling.js:398
FunctionmergeDefaults
(obj, defaults)
utils.js:42
Functionminpool
(opts)
nn/networks/pooling.js:269
Functionmlp
(nIn, layerdefs, optname, optDebug)
nn/networks/perceptron.js:8
FunctionnaryGetParents
()
ad/func.js:139
FunctionnetCreateFn
()
nn/lifting.js:36
FunctionnewBinaryFunction
(opts)
ad/func.js:55
FunctionnewFunction
(opts)
ad/func.js:104
FunctionnewUnaryFunction
(opts)
ad/func.js:22
FunctionnnTrain
(nn, trainingData, lossFn, options)
opt/optimize.js:127
Functionnop
()
ad/derivatives.js:3
Functionpartialeval
(adfn, name)
nn/lifting.js:32
FunctionregressionLoss
(output, trueOutput)
opt/loss.js:16
Functionrmsprop
(options)
opt/methods.js:68
Functionsgd
(options)
opt/methods.js:11