mlp_mse_gradient: Compute MSE Gradient for an MLP

In metANN: Metaheuristic and Gradient-Based Optimization for Neural Network Training and Continuous Problems

Compute MSE Gradient for an MLP

Description

Internal helper for computing the gradient of MSE loss with respect to the MLP parameter vector.

Usage

mlp_mse_gradient(x, y, weights, architecture)

Arguments

x	Numeric input matrix.
y	Numeric response vector.
weights	Numeric parameter vector.
architecture	MLP architecture object.

Value

A list containing loss, predictions, and gradient vector.

metANN documentation built on May 16, 2026, 1:06 a.m.