Release Version 1.0
Weight Blocks
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BaseWeightBlock
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Linear
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AutomaticLinear
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Bias
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AutomaticBias
Convolution Blocks
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BaseConvolutionBlock
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Convolution1D
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AutomaticConvolution1D
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Convolution2D
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AutomaticConvolution2D
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Convolution3D
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AutomaticConvolution3D
Pooling Blocks:
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BasePoolingBlock
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AveragePooling1D
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AveragePooling2D
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AveragePooling3D
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MaximumPooling1D
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MaximumPooling2D
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MaximumPooling3D
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MinimumPooling1D
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MinimumPooling2D
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MinimumPooling3D
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MaximumUnpooling1D
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MaximumUnpooling2D
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MaximumUnpooling3D
Activation Blocks:
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BaseActivationBlock
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Tanh
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ReLU
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LeakyReLU
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SigmoidLinearUnit
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Sigmoid
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Tanh
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Softmax
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Mish
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Gaussian
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ExponentialLinearUnit
Shape Transformation Blocks:
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BaseShapeTransformationBlock
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Reshape
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Flatten
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Transpose
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Permute
Attention Blocks:
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BaseAttentionBlock
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ScaledDotProductAttention
Dropout Blocks:
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BaseDropoutBlock
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Dropout
Padding Blocks:
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BasePaddingBlock
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ZeroPadding
Encoding Blocks:
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BaseEncodingBlock
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PositionalEncoding
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OneHotEncoding
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LabelEncoding
Operator Blocks:
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BaseOperatorBlock
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Add
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Subtract
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Multiply
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Divide
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Sum
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DotProduct
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Mean
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StandardDeviation
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ZScoreNormalization
CostFunctions
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BaseCostFunction
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BinaryCrossEntropy
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CategoricalCrossEntropy
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FocalLoss
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MeanAbsoluteError
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MeanSquaredError
Containers:
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Sequential
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ComputationalGraph
Regularizers:
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BaseRegularizer
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Lasso
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Ridge
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ElasticNet
ValueSchedulers
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BaseValueScheduler
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TimeDecay
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StepDecay
Utilities:
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Tokenizer
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IterativeTrainingWrapper
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TensorToClassConverter
Deep Reinforcement Models:
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DeepQLearning
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DeepDoubleQLearningV1
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DeepDoubleQLearningV2
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DeepClippedDoubleQLearning
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DeepStateActionRewardStateAction
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DeepDoubleStateActionRewardStateActionV1
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DeepDoubleStateActionRewardStateActionV2
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DeepExpectedStateActionRewardStateAction
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DeepDoubleExpectedStateActionRewardStateActionV1
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DeepDoubleExpectedStateActionRewardStateActionV2
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ActorCritic
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AdvantageActorCritic
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ProximalPolicyOptimization
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ProximalPolicyOptimizationClip
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REINFORCE
Cores
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BaseInstance
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BaseFunctionBlock
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InputHolder
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AutomaticDifferentiationTensor
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SymbolicDifferentiationTensor