- AbstractActivation
- AbstractConstraint
- AbstractRegularizer
- Accuracy
- Activation
- Activations
- AdaDelta
- AdaGrad
- AdaGradDA
- Adam
- Adamax
- AUC
- AUCCurve
- AUCSummationMethod
- Axes
- BaseInitializer
- BaseMetric
- BinaryAccuracy
- BinaryCrossentropy
- BinaryCrossentropy
- CastHelper
- CategoricalAccuracy
- CategoricalCrossentropy
- CategoricalCrossentropy
- CategoricalHinge
- CategoricalHinge
- ConfusionMatrix
- Constant
- Constraint
- CosineSimilarity
- CosineSimilarity
- Dataset
- DatasetIterator
- DatasetOptional
- ELU
- Exponential
- FalseNegatives
- FalsePositives
- FrameworkOps
- Ftrl
- GELU
- GELU
- Glorot
- GradientDescent
- HardSigmoid
- He
- Hinge
- Hinge
- Huber
- Identity
- Initializer
- KLDivergence
- KLDivergence
- L1
- L1L2
- L2
- L2Normalize
- LeCun
- LinalgOps
- Linear
- LogCosh
- LogCoshError
- Loss
- Losses
- MathOps
- MatMul
- MaxNorm
- Mean
- MeanAbsoluteError
- MeanAbsoluteError
- MeanAbsolutePercentageError
- MeanAbsolutePercentageError
- MeanIoU
- MeanRelativeError
- MeanSquaredError
- MeanSquaredError
- MeanSquaredLogarithmicError
- MeanSquaredLogarithmicError
- MeanTensor
- Metric
- MetricReduction
- Metrics
- MinMaxNorm
- Momentum
- Nadam
- NnOps
- NonNeg
- NotBroadcastableException
- Ones
- Optimizer
- Optimizer.GradAndVar
- Optimizer.Options
- Optimizers
- Orthogonal
- Poisson
- Poisson
- Precision
- PrecisionAtRecall
- RandomNormal
- RandomUniform
- Recall
- RecallAtPrecision
- ReduceLogSumExp
- Reduction
- Regularizer
- ReLU
- RMSProp
- RootMeanSquaredError
- SELU
- SensitivityAtSpecificity
- SetOps
- Sets
- Sets.Operation
- ShapeUtils
- Sigmoid
- SigmoidCrossEntropyWithLogits
- Softmax
- SoftmaxCrossEntropyWithLogits
- Softplus
- Softsign
- SparseCategoricalAccuracy
- SparseCategoricalCrossentropy
- SparseCategoricalCrossentropy
- SparseSoftmaxCrossEntropyWithLogits
- SparseTensor
- SparseTopKCategoricalAccuracy
- SpecificityAtSensitivity
- SquaredHinge
- SquaredHinge
- Sum
- Swish
- Tanh
- TensorDot
- TopKCategoricalAccuracy
- TrueNegatives
- TruePositives
- TruncatedNormal
- UnitNorm
- VarianceScaling
- VarianceScaling.Distribution
- VarianceScaling.Mode
- Zeros