MathFlow.TF.NN

allCandidateSampler'

allCandidateSampler

atrousConv2d'

atrousConv2d

atrousConv2dTranspose'

atrousConv2dTranspose

avgPool'

avgPool

avgPool3d'

avgPool3d

batchNormWithGlobalNormalization'

batchNormWithGlobalNormalization

batchNormalization'

batchNormalization

biasAdd'

biasAdd

bidirectionalDynamicRnn'

bidirectionalDynamicRnn

computeAccidentalHits'

computeAccidentalHits

conv1d'

conv1d

conv2d'

conv2d

conv2dBackpropFilter'

conv2dBackpropFilter

conv2dBackpropInput'

conv2dBackpropInput

conv2dTranspose'

conv2dTranspose

conv3d'

conv3d

conv3dBackpropFilterV2'

conv3dBackpropFilterV2

conv3dTranspose'

conv3dTranspose

convolution'

convolution

crelu'

crelu

ctcBeamSearchDecoder'

ctcBeamSearchDecoder

ctcGreedyDecoder'

ctcGreedyDecoder

ctcLoss'

ctcLoss

depthwiseConv2d'

depthwiseConv2d

depthwiseConv2dNative'

depthwiseConv2dNative

depthwiseConv2dNativeBackpropFilter'

depthwiseConv2dNativeBackpropFilter

depthwiseConv2dNativeBackpropInput'

depthwiseConv2dNativeBackpropInput

dilation2d'

dilation2d

dropout'

dropout

dynamicRnn'

dynamicRnn

elu'

elu

embeddingLookup'

embeddingLookup

embeddingLookupSparse'

embeddingLookupSparse

erosion2d'

erosion2d

fixedUnigramCandidateSampler'

fixedUnigramCandidateSampler

fractionalAvgPool'

fractionalAvgPool

fractionalMaxPool'

fractionalMaxPool

fusedBatchNorm'

fusedBatchNorm

inTopK'

inTopK

l2Loss'

l2Loss

l2Normalize'

l2Normalize

learnedUnigramCandidateSampler'

learnedUnigramCandidateSampler

localResponseNormalization'

localResponseNormalization

logPoissonLoss'

logPoissonLoss

logSoftmax'

logSoftmax

logUniformCandidateSampler'

logUniformCandidateSampler

lrn'

lrn

maxPool'

maxPool

maxPool3d'

maxPool3d

maxPoolWithArgmax'

maxPoolWithArgmax

moments'

moments

nceLoss'

nceLoss

normalizeMoments'

normalizeMoments

pool'

pool

quantizedAvgPool'

quantizedAvgPool

quantizedConv2d'

quantizedConv2d

quantizedMaxPool'

quantizedMaxPool

quantizedReluX'

quantizedReluX

rawRnn'

rawRnn

relu'

relu

relu6'

relu6

reluLayer'

reluLayer

sampledSoftmaxLoss'

sampledSoftmaxLoss

separableConv2d'

separableConv2d

sigmoid'

sigmoid

sigmoidCrossEntropyWithLogits

softmax'

softmax

softmaxCrossEntropyWithLogits

softplus'

softplus

softsign'

softsign

sparseSoftmaxCrossEntropyWithLogits

staticBidirectionalRnn'

staticBidirectionalRnn

staticRnn'

staticRnn

staticStateSavingRnn'

staticStateSavingRnn

sufficientStatistics'

sufficientStatistics

tanh'

tanh

topK'

topK

uniformCandidateSampler'

uniformCandidateSampler

weightedCrossEntropyWithLogits'

weightedCrossEntropyWithLogits

weightedMoments'

weightedMoments

withSpaceToBatch'

withSpaceToBatch

xwPlusB'

xwPlusB

zeroFraction'

zeroFraction