FlexNN 1
Fully connected neural network built from scratch with flexible n-layer design and multiple activations.
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FlexNN::Layers::Conv1D Member List

This is the complete list of members for FlexNN::Layers::Conv1D, including all inherited members.

activation() const noexceptFlexNN::Layers::Conv1Dinline
activationParams() const noexceptFlexNN::Layers::Conv1Dinline
backward(const Eigen::MatrixXd &nextW, const Eigen::MatrixXd &nextdZ, const Eigen::MatrixXd &currZ) constFlexNN::Layers::Conv1D
backward(const Eigen::MatrixXd &upstream, const Eigen::MatrixXd &currZ) constFlexNN::Layers::Conv1D
biases() const noexceptFlexNN::Layers::Conv1Dinline
Conv1D(Conv1DParams p, Activations::Activation act=Activations::Activation::ReLU, const Activations::ActivationParameters &params=Activations::ActivationParameters{})FlexNN::Layers::Conv1Dexplicit
Conv1D(int inChannels, int outChannels, int kernelSize, int stride=1, int padding=0, int dilation=1, Activations::Activation act=Activations::Activation::ReLU, const Activations::ActivationParameters &params=Activations::ActivationParameters{})FlexNN::Layers::Conv1D
forward(const Eigen::MatrixXd &input) constFlexNN::Layers::Conv1D
grad(const Eigen::MatrixXd &dZ, const Eigen::MatrixXd &input) constFlexNN::Layers::Conv1D
params() const noexceptFlexNN::Layers::Conv1Dinline
propagate(const Eigen::MatrixXd &dZ) constFlexNN::Layers::Conv1D
setActivationParameters(const Activations::ActivationParameters &p)FlexNN::Layers::Conv1Dinline
setBiases(const Eigen::VectorXd &b)FlexNN::Layers::Conv1Dinline
setWeights(const Eigen::MatrixXd &W)FlexNN::Layers::Conv1Dinline
type() const noexceptFlexNN::Layers::Conv1Dinline
update(const Eigen::MatrixXd &dW, const Eigen::VectorXd &db, double lr) noexceptFlexNN::Layers::Conv1D
updateWeights(const Eigen::MatrixXd &dW, const Eigen::VectorXd &db, double lr) noexceptFlexNN::Layers::Conv1Dinline
weights() const noexceptFlexNN::Layers::Conv1Dinline