Classes
| AccumulatorApplyGradient | Applies a gradient to a given accumulator. |
| AccumulatorNumAccumulated | Returns the number of gradients aggregated in the given accumulators. |
| AccumulatorSetGlobalStep | Updates the accumulator with a new value for global_step. |
| AccumulatorTakeGradient<T extends TType> | Extracts the average gradient in the given ConditionalAccumulator. |
| ApplyAdadelta<T extends TType> | Update '*var' according to the adadelta scheme. |
| ApplyAdadelta.Options | Optional attributes for ApplyAdadelta
|
| ApplyAdagrad<T extends TType> | Update '*var' according to the adagrad scheme. |
| ApplyAdagrad.Options | Optional attributes for ApplyAdagrad
|
| ApplyAdagradDa<T extends TType> | Update '*var' according to the proximal adagrad scheme. |
| ApplyAdagradDa.Options | Optional attributes for ApplyAdagradDa
|
| ApplyAdagradV2<T extends TType> | Update '*var' according to the adagrad scheme. |
| ApplyAdagradV2.Options | Optional attributes for ApplyAdagradV2
|
| ApplyAdam<T extends TType> | Update '*var' according to the Adam algorithm. |
| ApplyAdam.Options | Optional attributes for ApplyAdam
|
| ApplyAdaMax<T extends TType> | Update '*var' according to the AdaMax algorithm. |
| ApplyAdaMax.Options | Optional attributes for ApplyAdaMax
|
| ApplyAddSign<T extends TType> | Update '*var' according to the AddSign update. |
| ApplyAddSign.Options | Optional attributes for ApplyAddSign
|
| ApplyCenteredRmsProp<T extends TType> | Update '*var' according to the centered RMSProp algorithm. |
| ApplyCenteredRmsProp.Options | Optional attributes for ApplyCenteredRmsProp
|
| ApplyFtrl<T extends TType> | Update '*var' according to the Ftrl-proximal scheme. |
| ApplyFtrl.Options | Optional attributes for ApplyFtrl
|
| ApplyGradientDescent<T extends TType> | Update '*var' by subtracting 'alpha' * 'delta' from it. |
| ApplyGradientDescent.Options | Optional attributes for ApplyGradientDescent
|
| ApplyMomentum<T extends TType> | Update '*var' according to the momentum scheme. |
| ApplyMomentum.Options | Optional attributes for ApplyMomentum
|
| ApplyPowerSign<T extends TType> | Update '*var' according to the AddSign update. |
| ApplyPowerSign.Options | Optional attributes for ApplyPowerSign
|
| ApplyProximalAdagrad<T extends TType> | Update '*var' and '*accum' according to FOBOS with Adagrad learning rate. |
| ApplyProximalAdagrad.Options | Optional attributes for ApplyProximalAdagrad
|
| ApplyProximalGradientDescent<T extends TType> | Update '*var' as FOBOS algorithm with fixed learning rate. |
| ApplyProximalGradientDescent.Options | Optional attributes for ApplyProximalGradientDescent
|
| ApplyRmsProp<T extends TType> | Update '*var' according to the RMSProp algorithm. |
| ApplyRmsProp.Options | Optional attributes for ApplyRmsProp
|
| BatchMatMul<T extends TType> | Multiplies slices of two tensors in batches. |
| BatchMatMul.Options | Optional attributes for BatchMatMul
|
| ComputeBatchSize | Computes the static batch size of a dataset sans partial batches. |
| ConditionalAccumulator | A conditional accumulator for aggregating gradients. |
| ConditionalAccumulator.Options | Optional attributes for ConditionalAccumulator
|
| GenerateVocabRemapping | Given a path to new and old vocabulary files, returns a remapping Tensor of
length `num_new_vocab`, where `remapping[i]` contains the row number in the old vocabulary that corresponds to row `i` in the new vocabulary (starting at line `new_vocab_offset` and up to `num_new_vocab` entities), or `-1` if entry `i` in the new vocabulary is not in the old vocabulary. |
| GenerateVocabRemapping.Options | Optional attributes for GenerateVocabRemapping
|
| MergeV2Checkpoints | V2 format specific: merges the metadata files of sharded checkpoints. |
| MergeV2Checkpoints.Options | Optional attributes for MergeV2Checkpoints
|
| NegTrain | Training via negative sampling. |
| PreventGradient<T extends TType> | An identity op that triggers an error if a gradient is requested. |
| PreventGradient.Options | Optional attributes for PreventGradient
|
| ResourceAccumulatorApplyGradient | Applies a gradient to a given accumulator. |
| ResourceAccumulatorNumAccumulated | Returns the number of gradients aggregated in the given accumulators. |
| ResourceAccumulatorSetGlobalStep | Updates the accumulator with a new value for global_step. |
| ResourceAccumulatorTakeGradient<T extends TType> | Extracts the average gradient in the given ConditionalAccumulator. |
| ResourceApplyAdadelta | Update '*var' according to the adadelta scheme. |
| ResourceApplyAdadelta.Options | Optional attributes for ResourceApplyAdadelta
|
| ResourceApplyAdagrad | Update '*var' according to the adagrad scheme. |
| ResourceApplyAdagrad.Options | Optional attributes for ResourceApplyAdagrad
|
| ResourceApplyAdagradDa | Update '*var' according to the proximal adagrad scheme. |
| ResourceApplyAdagradDa.Options | Optional attributes for ResourceApplyAdagradDa
|
| ResourceApplyAdam | Update '*var' according to the Adam algorithm. |
| ResourceApplyAdam.Options | Optional attributes for ResourceApplyAdam
|
| ResourceApplyAdaMax | Update '*var' according to the AdaMax algorithm. |
| ResourceApplyAdaMax.Options | Optional attributes for ResourceApplyAdaMax
|
| ResourceApplyAdamWithAmsgrad | Update '*var' according to the Adam algorithm. |
| ResourceApplyAdamWithAmsgrad.Options | Optional attributes for ResourceApplyAdamWithAmsgrad
|
| ResourceApplyAddSign | Update '*var' according to the AddSign update. |
| ResourceApplyAddSign.Options | Optional attributes for ResourceApplyAddSign
|
| ResourceApplyCenteredRmsProp | Update '*var' according to the centered RMSProp algorithm. |
| ResourceApplyCenteredRmsProp.Options | Optional attributes for ResourceApplyCenteredRmsProp
|
| ResourceApplyFtrl | Update '*var' according to the Ftrl-proximal scheme. |
| ResourceApplyFtrl.Options | Optional attributes for ResourceApplyFtrl
|
| ResourceApplyGradientDescent | Update '*var' by subtracting 'alpha' * 'delta' from it. |
| ResourceApplyGradientDescent.Options | Optional attributes for ResourceApplyGradientDescent
|
| ResourceApplyKerasMomentum | Update '*var' according to the momentum scheme. |
| ResourceApplyKerasMomentum.Options | Optional attributes for ResourceApplyKerasMomentum
|
| ResourceApplyMomentum | Update '*var' according to the momentum scheme. |
| ResourceApplyMomentum.Options | Optional attributes for ResourceApplyMomentum
|
| ResourceApplyPowerSign | Update '*var' according to the AddSign update. |
| ResourceApplyPowerSign.Options | Optional attributes for ResourceApplyPowerSign
|
| ResourceApplyProximalAdagrad | Update '*var' and '*accum' according to FOBOS with Adagrad learning rate. |
| ResourceApplyProximalAdagrad.Options | Optional attributes for ResourceApplyProximalAdagrad
|
| ResourceApplyProximalGradientDescent | Update '*var' as FOBOS algorithm with fixed learning rate. |
| ResourceApplyProximalGradientDescent.Options | Optional attributes for ResourceApplyProximalGradientDescent
|
| ResourceApplyRmsProp | Update '*var' according to the RMSProp algorithm. |
| ResourceApplyRmsProp.Options | Optional attributes for ResourceApplyRmsProp
|
| ResourceConditionalAccumulator | A conditional accumulator for aggregating gradients. |
| ResourceConditionalAccumulator.Options | Optional attributes for ResourceConditionalAccumulator
|
| ResourceSparseApplyAdadelta | var: Should be from a Variable(). |
| ResourceSparseApplyAdadelta.Options | Optional attributes for ResourceSparseApplyAdadelta
|
| ResourceSparseApplyAdagrad | Update relevant entries in '*var' and '*accum' according to the adagrad scheme. |
| ResourceSparseApplyAdagrad.Options | Optional attributes for ResourceSparseApplyAdagrad
|
| ResourceSparseApplyAdagradDa | Update entries in '*var' and '*accum' according to the proximal adagrad scheme. |
| ResourceSparseApplyAdagradDa.Options | Optional attributes for ResourceSparseApplyAdagradDa
|
| ResourceSparseApplyAdagradV2 | Update relevant entries in '*var' and '*accum' according to the adagrad scheme. |
| ResourceSparseApplyAdagradV2.Options | Optional attributes for ResourceSparseApplyAdagradV2
|
| ResourceSparseApplyCenteredRmsProp | Update '*var' according to the centered RMSProp algorithm. |
| ResourceSparseApplyCenteredRmsProp.Options | Optional attributes for ResourceSparseApplyCenteredRmsProp
|
| ResourceSparseApplyFtrl | Update relevant entries in '*var' according to the Ftrl-proximal scheme. |
| ResourceSparseApplyFtrl.Options | Optional attributes for ResourceSparseApplyFtrl
|
| ResourceSparseApplyKerasMomentum | Update relevant entries in '*var' and '*accum' according to the momentum scheme. |
| ResourceSparseApplyKerasMomentum.Options | Optional attributes for ResourceSparseApplyKerasMomentum
|
| ResourceSparseApplyMomentum | Update relevant entries in '*var' and '*accum' according to the momentum scheme. |
| ResourceSparseApplyMomentum.Options | Optional attributes for ResourceSparseApplyMomentum
|
| ResourceSparseApplyProximalAdagrad | Sparse update entries in '*var' and '*accum' according to FOBOS algorithm. |
| ResourceSparseApplyProximalAdagrad.Options | Optional attributes for ResourceSparseApplyProximalAdagrad
|
| ResourceSparseApplyProximalGradientDescent | Sparse update '*var' as FOBOS algorithm with fixed learning rate. |
| ResourceSparseApplyProximalGradientDescent.Options | Optional attributes for ResourceSparseApplyProximalGradientDescent
|
| ResourceSparseApplyRmsProp | Update '*var' according to the RMSProp algorithm. |
| ResourceSparseApplyRmsProp.Options | Optional attributes for ResourceSparseApplyRmsProp
|
| Restore | Restores tensors from a V2 checkpoint. |
| RestoreSlice<T extends TType> | Restores a tensor from checkpoint files. |
| RestoreSlice.Options | Optional attributes for RestoreSlice
|
| Save | Saves tensors in V2 checkpoint format. |
| SaveSlices | Saves input tensors slices to disk. |
| SdcaFprint | Computes fingerprints of the input strings. |
| SdcaOptimizer | Distributed version of Stochastic Dual Coordinate Ascent (SDCA) optimizer for
linear models with L1 + L2 regularization. |
| SdcaOptimizer.Options | Optional attributes for SdcaOptimizer
|
| SdcaShrinkL1 | Applies L1 regularization shrink step on the parameters. |
| SparseApplyAdadelta<T extends TType> | var: Should be from a Variable(). |
| SparseApplyAdadelta.Options | Optional attributes for SparseApplyAdadelta
|
| SparseApplyAdagrad<T extends TType> | Update relevant entries in '*var' and '*accum' according to the adagrad scheme. |
| SparseApplyAdagrad.Options | Optional attributes for SparseApplyAdagrad
|
| SparseApplyAdagradDa<T extends TType> | Update entries in '*var' and '*accum' according to the proximal adagrad scheme. |
| SparseApplyAdagradDa.Options | Optional attributes for SparseApplyAdagradDa
|
| SparseApplyCenteredRmsProp<T extends TType> | Update '*var' according to the centered RMSProp algorithm. |
| SparseApplyCenteredRmsProp.Options | Optional attributes for SparseApplyCenteredRmsProp
|
| SparseApplyFtrl<T extends TType> | Update relevant entries in '*var' according to the Ftrl-proximal scheme. |
| SparseApplyFtrl.Options | Optional attributes for SparseApplyFtrl
|
| SparseApplyMomentum<T extends TType> | Update relevant entries in '*var' and '*accum' according to the momentum scheme. |
| SparseApplyMomentum.Options | Optional attributes for SparseApplyMomentum
|
| SparseApplyProximalAdagrad<T extends TType> | Sparse update entries in '*var' and '*accum' according to FOBOS algorithm. |
| SparseApplyProximalAdagrad.Options | Optional attributes for SparseApplyProximalAdagrad
|
| SparseApplyProximalGradientDescent<T extends TType> | Sparse update '*var' as FOBOS algorithm with fixed learning rate. |
| SparseApplyProximalGradientDescent.Options | Optional attributes for SparseApplyProximalGradientDescent
|
| SparseApplyRmsProp<T extends TType> | Update '*var' according to the RMSProp algorithm. |
| SparseApplyRmsProp.Options | Optional attributes for SparseApplyRmsProp
|
| TileGrad<T extends TType> | Returns the gradient of `Tile`. |