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BlackCat_Tensors
A GPU-supported autograd and linear algebra library, designed for neural network construction
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#include <momentum.h>


Public Types | |
| using | value_type = typename Tensor::value_type |
Public Member Functions | |
| template<class... Args> | |
| Optimizer (Args &&... args) | |
| template<class TensorX , class Gradients > | |
| void | update (TensorX &tensor, Gradients &&delta) |
| void | set_learning_rate (value_type lr) |
| void | save (Layer_Loader &loader, std::string name) const |
| void | load (Layer_Loader &loader, std::string name) |
Public Member Functions inherited from bc::nn::Optimizer_Base | |
| void | save (Layer_Loader &loader, std::string name) const |
| void | load (Layer_Loader &loader, std::string name) |
Public Attributes | |
| value_type | alpha = .9 |
| value_type | learning_rate = 0.003 |
| Tensor | momentum |
| using bc::nn::Momentum::Optimizer< Tensor >::value_type = typename Tensor::value_type |
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| value_type bc::nn::Momentum::Optimizer< Tensor >::alpha = .9 |
| value_type bc::nn::Momentum::Optimizer< Tensor >::learning_rate = 0.003 |
| Tensor bc::nn::Momentum::Optimizer< Tensor >::momentum |
1.8.13