Training Ops

Summary

Classes
tensorflow::ops::ApplyAdadelta	Update '*var' according to the adadelta scheme.
tensorflow::ops::ApplyAdagrad	Update '*var' according to the adagrad scheme.
tensorflow::ops::ApplyAdagradDA	Update '*var' according to the proximal adagrad scheme.
tensorflow::ops::ApplyAdam	Update '*var' according to the Adam algorithm.
tensorflow::ops::ApplyAddSign	Update '*var' according to the AddSign update.
tensorflow::ops::ApplyCenteredRMSProp	Update '*var' according to the centered RMSProp algorithm.
tensorflow::ops::ApplyFtrl	Update '*var' according to the Ftrl-proximal scheme.
tensorflow::ops::ApplyFtrlV2	Update '*var' according to the Ftrl-proximal scheme.
tensorflow::ops::ApplyGradientDescent	Update '*var' by subtracting 'alpha' * 'delta' from it.
tensorflow::ops::ApplyMomentum	Update '*var' according to the momentum scheme.
tensorflow::ops::ApplyPowerSign	Update '*var' according to the AddSign update.
tensorflow::ops::ApplyProximalAdagrad	Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
tensorflow::ops::ApplyProximalGradientDescent	Update '*var' as FOBOS algorithm with fixed learning rate.
tensorflow::ops::ApplyRMSProp	Update '*var' according to the RMSProp algorithm.
tensorflow::ops::ResourceApplyAdadelta	Update '*var' according to the adadelta scheme.
tensorflow::ops::ResourceApplyAdagrad	Update '*var' according to the adagrad scheme.
tensorflow::ops::ResourceApplyAdagradDA	Update '*var' according to the proximal adagrad scheme.
tensorflow::ops::ResourceApplyAdam	Update '*var' according to the Adam algorithm.
tensorflow::ops::ResourceApplyAdamWithAmsgrad	Update '*var' according to the Adam algorithm.
tensorflow::ops::ResourceApplyAddSign	Update '*var' according to the AddSign update.
tensorflow::ops::ResourceApplyCenteredRMSProp	Update '*var' according to the centered RMSProp algorithm.
tensorflow::ops::ResourceApplyFtrl	Update '*var' according to the Ftrl-proximal scheme.
tensorflow::ops::ResourceApplyFtrlV2	Update '*var' according to the Ftrl-proximal scheme.
tensorflow::ops::ResourceApplyGradientDescent	Update '*var' by subtracting 'alpha' * 'delta' from it.
tensorflow::ops::ResourceApplyKerasMomentum	Update '*var' according to the momentum scheme.
tensorflow::ops::ResourceApplyMomentum	Update '*var' according to the momentum scheme.
tensorflow::ops::ResourceApplyPowerSign	Update '*var' according to the AddSign update.
tensorflow::ops::ResourceApplyProximalAdagrad	Update '*var' and '*accum' according to FOBOS with Adagrad learning rate.
tensorflow::ops::ResourceApplyProximalGradientDescent	Update '*var' as FOBOS algorithm with fixed learning rate.
tensorflow::ops::ResourceApplyRMSProp	Update '*var' according to the RMSProp algorithm.
tensorflow::ops::ResourceSparseApplyAdadelta	var: Should be from a Variable().
tensorflow::ops::ResourceSparseApplyAdagrad	Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
tensorflow::ops::ResourceSparseApplyAdagradDA	Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
tensorflow::ops::ResourceSparseApplyCenteredRMSProp	Update '*var' according to the centered RMSProp algorithm.
tensorflow::ops::ResourceSparseApplyFtrl	Update relevant entries in '*var' according to the Ftrl-proximal scheme.
tensorflow::ops::ResourceSparseApplyFtrlV2	Update relevant entries in '*var' according to the Ftrl-proximal scheme.
tensorflow::ops::ResourceSparseApplyKerasMomentum	Update relevant entries in '*var' and '*accum' according to the momentum scheme.
tensorflow::ops::ResourceSparseApplyMomentum	Update relevant entries in '*var' and '*accum' according to the momentum scheme.
tensorflow::ops::ResourceSparseApplyProximalAdagrad	Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
tensorflow::ops::ResourceSparseApplyProximalGradientDescent	Sparse update '*var' as FOBOS algorithm with fixed learning rate.
tensorflow::ops::ResourceSparseApplyRMSProp	Update '*var' according to the RMSProp algorithm.
tensorflow::ops::SparseApplyAdadelta	var: Should be from a Variable().
tensorflow::ops::SparseApplyAdagrad	Update relevant entries in '*var' and '*accum' according to the adagrad scheme.
tensorflow::ops::SparseApplyAdagradDA	Update entries in '*var' and '*accum' according to the proximal adagrad scheme.
tensorflow::ops::SparseApplyCenteredRMSProp	Update '*var' according to the centered RMSProp algorithm.
tensorflow::ops::SparseApplyFtrl	Update relevant entries in '*var' according to the Ftrl-proximal scheme.
tensorflow::ops::SparseApplyFtrlV2	Update relevant entries in '*var' according to the Ftrl-proximal scheme.
tensorflow::ops::SparseApplyMomentum	Update relevant entries in '*var' and '*accum' according to the momentum scheme.
tensorflow::ops::SparseApplyProximalAdagrad	Sparse update entries in '*var' and '*accum' according to FOBOS algorithm.
tensorflow::ops::SparseApplyProximalGradientDescent	Sparse update '*var' as FOBOS algorithm with fixed learning rate.
tensorflow::ops::SparseApplyRMSProp	Update '*var' according to the RMSProp algorithm.