Talk: Theoretical Aspects of Gradient Methods in Deep Learning

AI | Machine Learning | Tech on Instagram: "Follow for more @ai.pathwayy Gradient descent is an optimization method used to train machine learning models by finding the set of parameters (like weights in a neural network) that make the loss function as small as possible. You can think of the loss as a surface, where each point represents a different set of parameters, and our goal is to move downhill toward the lowest point. To do this, we calculate the gradient, which is a collection of partial

Gradient Backgrounds

Gradient Backgrounds

Gradient Backgrounds