Copy copies matrix from src to dst.

Dot calculates dot product of two matrices and saves the product in the destination matrix.

Elu calculates exponential linear unit function for given input.

EluDeactivate calculates exponential linear unit deactivation value.

LeakyRelu calculates leaky rectified linear unit function for given input.

LeakyReLUDeactivate calculates leaky rectified linear unit deactivation value.

Neutral activation function does nothing to the input value.

NewMatrix creates new Matrix with given number of rows and columns.

NewNN creates new NN based on the architecture.

Relu calculates rectified linear unit function for given input.

ReLUDeactivate calculates rectified linear unit deactivation value.

Sigmoid calculate sigmoid function for given input.

SigmoidDeactivate calculates sigmoid deactivation value.

Sotmax calculates softmax function on slice of float64 values.

Sum sums src and dst matrices to dst.

Than calculates hyperbolic tangent function for given input.

TanhDeactivate calculates tangent deactivation value.

Matrix is a 2D matrix.

NN is a Neural Network.

Schema describes the layer schema and can be decoded from json or yaml file.

ActivationFunction is an activation signature function.