GLOSSARY TERM
What is Gradient Descent?
An iterative optimization algorithm for finding the local minimum of a differentiable function.
Gradient descent adjusts model parameters in the opposite direction of the gradient of the objective function. It is the fundamental optimization engine driving the learning process in nearly all modern neural networks.
Core Optimization
Unlock efficient mathematical optimization through the M1 computing layer.