MCPcopy Create free account

hub / github.com/andersbll/deeppy / types & classes

Types & classes144 in github.com/andersbll/deeppy

⨍ Functions 648◇ Types & classes 144
↓ 10 callersClassBPropableSource
deeppy/misc/test.py:59
↓ 4 callersClassParameter
deeppy/parameter.py:10
↓ 3 callersClassConstant
deeppy/expr/base.py:126
↓ 3 callersClassOutput
deeppy/expr/base.py:139
↓ 2 callersClassBroadcast
deeppy/expr/base.py:189
↓ 1 callersClassAbsolute
deeppy/expr/elementwise.py:7
↓ 1 callersClassAdd
deeppy/expr/elementwise.py:71
↓ 1 callersClassAffine
deeppy/expr/nnet/affine.py:40
↓ 1 callersClassAutoFiller
deeppy/filler.py:70
↓ 1 callersClassBinaryCrossEntropy
deeppy/loss.py:72
↓ 1 callersClassClip
deeppy/expr/elementwise.py:18
↓ 1 callersClassConstantFiller
deeppy/filler.py:29
↓ 1 callersClassCopyFiller
deeppy/filler.py:57
↓ 1 callersClassDiGraph
deeppy/expr/graph/digraph.py:8
↓ 1 callersClassDivide
deeppy/expr/elementwise.py:131
↓ 1 callersClassDot
deeppy/expr/linalg.py:5
↓ 1 callersClassExp
deeppy/expr/elementwise.py:53
↓ 1 callersClassExprSplit
deeppy/expr/graph/exprgraph.py:11
↓ 1 callersClassKLDivergence
deeppy/model/variational_autoencoder.py:34
↓ 1 callersClassLeakyReLU
deeppy/expr/nnet/activation.py:5
↓ 1 callersClassLeakyReLU
deeppy/feedforward/activation_layers.py:40
↓ 1 callersClassLog
deeppy/expr/elementwise.py:44
↓ 1 callersClassMaximum
deeppy/expr/elementwise.py:172
↓ 1 callersClassMean
deeppy/expr/reduce.py:18
↓ 1 callersClassMeanSquaredError
deeppy/loss.py:83
↓ 1 callersClassMinimum
deeppy/expr/elementwise.py:190
↓ 1 callersClassMultiply
deeppy/expr/elementwise.py:111
↓ 1 callersClassNameFinder
Finds the longest form of variable names and their imports in code Only retains names from imported modules.
doc/sphinx_ext/gen_rst.py:358
↓ 1 callersClassNegative
deeppy/expr/elementwise.py:36
↓ 1 callersClassNegativeGradient
deeppy/model/adversarial.py:9
↓ 1 callersClassNormal
deeppy/expr/random.py:5
↓ 1 callersClassNormalFiller
deeppy/filler.py:37
↓ 1 callersClassNormalSampler
deeppy/model/variational_autoencoder.py:9
↓ 1 callersClassOneHot
deeppy/expr/nnet/one_hot.py:6
↓ 1 callersClassParametricReLU
deeppy/feedforward/activation_layers.py:56
↓ 1 callersClassPower
deeppy/expr/elementwise.py:151
↓ 1 callersClassReLU
deeppy/expr/nnet/activation.py:21
↓ 1 callersClassReLU
deeppy/feedforward/activation_layers.py:85
↓ 1 callersClassSharedParameter
deeppy/parameter.py:92
↓ 1 callersClassSigmoid
deeppy/expr/nnet/activation.py:30
↓ 1 callersClassSigmoid
deeppy/feedforward/activation_layers.py:95
↓ 1 callersClassSoftmax
deeppy/expr/nnet/activation.py:39
↓ 1 callersClassSoftmax
deeppy/feedforward/activation_layers.py:105
↓ 1 callersClassSoftmaxCrossEntropy
Softmax + cross entropy (aka. multinomial logistic loss)
deeppy/loss.py:35
↓ 1 callersClassSoftplus
deeppy/expr/nnet/activation.py:57
↓ 1 callersClassSoftplus
deeppy/feedforward/activation_layers.py:114
↓ 1 callersClassStackedAutoencoderLayer
deeppy/autoencoder/stacked_autoencoder.py:7
↓ 1 callersClassSubtract
deeppy/expr/elementwise.py:91
↓ 1 callersClassSum
deeppy/expr/reduce.py:33
↓ 1 callersClassSupervisedFeed
deeppy/feed.py:60
↓ 1 callersClassTanh
deeppy/expr/elementwise.py:62
↓ 1 callersClassTanh
deeppy/feedforward/activation_layers.py:123
↓ 1 callersClassTee
doc/sphinx_ext/gen_rst.py:62
↓ 1 callersClassTranspose
deeppy/expr/array.py:80
↓ 1 callersClassUniform
deeppy/expr/random.py:19
↓ 1 callersClassUniformFiller
deeppy/filler.py:47
↓ 1 callersClassZeroAnnealer
deeppy/train/annealers.py:17
↓ 1 callersClass_SoftmaxIdentityBProp
deeppy/expr/nnet/loss.py:71
ClassActivation
deeppy/feedforward/activation_layers.py:8
ClassAdam
deeppy/train/learn_rules.py:57
ClassAdversarialNet
deeppy/model/adversarial.py:17
ClassAffine
deeppy/feedforward/layers.py:29
ClassAnnealer
deeppy/train/annealers.py:4
ClassAutoencoder
deeppy/autoencoder/autoencoder.py:11
ClassBackwardConvolution
deeppy/expr/nnet/spatial.py:86
ClassBatchNormalization
deeppy/expr/nnet/batch_normalization.py:13
ClassBinary
deeppy/expr/base.py:171
ClassBinaryCrossEntropy
deeppy/expr/nnet/loss.py:41
ClassBinaryElementWise
deeppy/expr/base.py:213
ClassCIFAR10
The CIFAR-10 dataset [1] http://www.cs.toronto.edu/~kriz/cifar.html References: [1]: Learning Multiple Layers of Features from Tiny
deeppy/dataset/cifar10.py:16
ClassCelebA
Large-scale CelebFaces Attributes (CelebA) Dataset [1]. http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html References: [1]: Ziwei Liu,
deeppy/dataset/celeba.py:27
ClassClassifierNet
deeppy/model/feedforward.py:56
ClassCollectionMixin
deeppy/base.py:38
ClassConcatenate
deeppy/expr/array.py:158
ClassContrastiveLoss
deeppy/siamese/loss.py:5
ClassConvolution
deeppy/expr/nnet/spatial.py:19
ClassConvolution
deeppy/feedforward/convnet_layers.py:19
ClassCoverage
setup.py:47
ClassDebugExprGraph
deeppy/expr/graph/util.py:60
ClassDecayAnnealer
deeppy/train/annealers.py:25
ClassDenoisingAutoencoder
deeppy/autoencoder/autoencoder.py:115
ClassDropout
deeppy/expr/nnet/dropout.py:6
ClassDropout
deeppy/feedforward/dropout_layers.py:6
ClassExprGraph
deeppy/expr/graph/exprgraph.py:87
ClassFeed
deeppy/feed.py:5
ClassFeedForwardNet
deeppy/model/feedforward.py:8
ClassFiller
deeppy/filler.py:5
ClassFlatten
deeppy/expr/array.py:6
ClassFlatten
deeppy/feedforward/convnet_layers.py:161
ClassGammaAnnealer
deeppy/train/annealers.py:34
ClassGradientDescent
deeppy/train/gradient_descent.py:11
ClassInfiMNIST
The infinite MNIST dataset (formerly known as MNIST8M) [1, 2] http://leon.bottou.org/projects/infimnist References: [1]: Loosli, Gae
deeppy/dataset/infimnist.py:17
ClassLFW
The Labeled Faces in the Wild dataset [1]. http://vis-www.cs.umass.edu/lfw/ References: [1]: Gary B. Huang, Manu Ramesh, Tamara Berg
deeppy/dataset/lfw.py:66
ClassLayer
deeppy/feedforward/layers.py:6
ClassLearnRule
deeppy/train/learn_rules.py:5
ClassLinear
deeppy/expr/nnet/affine.py:7
ClassLocalContrastNormalization
deeppy/feedforward/convnet_layers.py:101
ClassLocalResponseNormalization
deeppy/feedforward/convnet_layers.py:82
ClassLoss
deeppy/loss.py:9
ClassLoss
deeppy/expr/nnet/loss.py:7
next →1–100 of 144, ranked by callers