BlackCat_Tensors
A GPU-supported autograd and linear algebra library, designed for neural network construction
- u -
un_expr() :
bc::tensors::Expression_Base< ExpressionTemplate >
Un_Op() :
bc::tensors::exprs::Un_Op< Operation, ArrayType >
,
bc::tensors::exprs::Un_Op< oper::transpose< System_Tag >, Value >
,
bc::tensors::exprs::Un_Op< Sum< SystemTag >, ArrayType >
update() :
bc::nn::Adam::Optimizer< Tensor >
,
bc::nn::Momentum::Optimizer< Tensor >
,
bc::nn::Stochastic_Gradient_Descent::Optimizer< ValueType >
update_weights() :
bc::nn::Convolution< SystemTag, ValueType, Optimizer >
,
bc::nn::FeedForward< SystemTag, ValueType, Optimizer >
,
bc::nn::Layer_Base< DerivedLayer, InputTensorDescriptor, OutputTensorDescriptor >
,
bc::nn::Layer_Manager< Derived, Layer >
,
bc::nn::LSTM< SystemTag, ValueType, Optimizer, ForgetGateNonlinearity, WriteGateNonlinearity, InputGateNonlinearity, OutputGateNonlinearity, CellStateNonLinearity >
,
bc::nn::NeuralNetwork< Layers >
,
bc::nn::Polymorphic_Layer_Base< Dimension, ValueType, SystemTag, Allocator, OutputDimension, OutputValueType, OutputSystemTag, OutputAllocator >
,
bc::nn::Recurrent< SystemTag, ValueType, RecurrentNonLinearity >
Generated by
1.8.13