Gradient descent is one of the main tools that is used in many machine learning and neural network algorithms. It acts as a guide to finding the minimum of a function. But what’s happening under the hood, and why do we need it?
Gradient descent is one of the main tools that is used in many machine learning and neural network algorithms. It acts as a guide to finding the minimum of a function. But what’s happening under the hood, and why do we need it?