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FlexNN 1
Fully connected neural network built from scratch with flexible n-layer design and multiple activations.
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Leaky ReLU with configurable alpha (default 0.01). More...
#include <Eigen/Dense>

Go to the source code of this file.
Namespaces | |
| namespace | FlexNN |
| Namespace for the FlexNN neural network library. | |
| namespace | FlexNN::Activations |
| namespace | FlexNN::Activations::detail |
Functions | |
| Eigen::MatrixXd | FlexNN::Activations::detail::leaky_relu_forward (const Eigen::MatrixXd &Z, double alpha=kLeakyAlpha) |
| LeakyReLU forward: A = Z>0 ? Z : alpha*Z. | |
| Eigen::MatrixXd | FlexNN::Activations::detail::leaky_relu_backward (const Eigen::MatrixXd &dA, const Eigen::MatrixXd &Z, const Eigen::MatrixXd &, double alpha=kLeakyAlpha) noexcept |
| LeakyReLU backward: dZ = dA * (Z>0 ? 1 : alpha). | |
Variables | |
| constexpr double | FlexNN::Activations::detail::kLeakyAlpha = 0.01 |
Leaky ReLU with configurable alpha (default 0.01).
alpha is the slope for z <= 0. Historic fixed value 0.01 (v0.1) is kept as kDefaultLeakyAlpha in ActivationParameters.hpp; this header now takes alpha as a parameter so layers can store per-layer ActivationParameters.