Abstract Gradient descent and its variants are foundational in solving optimization problems across many disciplines. In deep learning. these optimizers demonstrate a remarkable ability to dynamically navigate complex loss landscapes. ultimately converging to solutions that generalize well. https://foldlyers.shop/product-category/metallophone/