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What is Partial Derivatives and Gradients Explained about?

This document discusses partial differentiation and gradients in machine learning. The gradient is a generalization of the derivative to functions of multiple variables and is a row vector. A partial derivative is the derivative of a function with respect to one of its variables while keeping others constant. The gradient is defined as the vector of all partial derivatives of a function with respect to its variables.

Author

Δημήτριος Ρωμηός

Language

EN