FlexNN 1
Fully connected neural network built from scratch with flexible n-layer design and multiple activations.
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FlexNN::Layers::MaxPool1D Member List

This is the complete list of members for FlexNN::Layers::MaxPool1D, including all inherited members.

activation() const noexceptFlexNN::Layers::MaxPool1Dinline
backward(const Eigen::MatrixXd &upstream, const Eigen::MatrixXd &currZ) constFlexNN::Layers::MaxPool1D
backward(const Eigen::MatrixXd &nextW, const Eigen::MatrixXd &nextdZ, const Eigen::MatrixXd &currZ) constFlexNN::Layers::MaxPool1D
forward(const Eigen::MatrixXd &input) constFlexNN::Layers::MaxPool1D
grad(const Eigen::MatrixXd &dZ, const Eigen::MatrixXd &input) constFlexNN::Layers::MaxPool1D
MaxPool1D(Pool1DParams p, Activations::Activation act=Activations::Activation::None)FlexNN::Layers::MaxPool1Dexplicit
params() const noexceptFlexNN::Layers::MaxPool1Dinline
propagate(const Eigen::MatrixXd &dZ) constFlexNN::Layers::MaxPool1D
type() const noexceptFlexNN::Layers::MaxPool1Dinline
update(const Eigen::MatrixXd &dW, const Eigen::VectorXd &db, double lr) noexceptFlexNN::Layers::MaxPool1D
updateWeights(const Eigen::MatrixXd &dW, const Eigen::VectorXd &db, double lr) noexceptFlexNN::Layers::MaxPool1Dinline