Autograd

AutoGrad is an automatic differentiation system that computes gradients of outputs with respect to inputs in computational graphs, enabling efficient optimization and training of machine learning models. As a crucial component in many deep learning frameworks, AutoGrad has become a fundamental tool for developers and researchers, allowing them to focus on model design and implementation rather than manual gradient calculations, and driving advancements in AI and data science applications.