Autograd

Deep Learning

Autograd, short for automatic differentiation, is a technique used in machine learning and computational mathematics to automatically compute the derivatives (gradients) of functions. It plays a crucial role in optimization algorithms, particularly in training neural networks.
A method that enables automatic computation of gradients for scalar-valued functions with respect to their inputs, facilitating efficient optimization and backpropagation in machine learning models.