Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...

Many aspects of modern applied research rely on a crucial algorithm called gradient descent. This is a procedure generally used for finding the largest or smallest values of a particular mathematical ...

Wan YJ, Liu XD, Wu GZ et al. Efficient stochastic parallel gradient descent training for on-chip optical processor. Opto-Electron Adv 7, 230182 (2024). doi: 10.29026/oea.2024.230182 ...

Function estimation/approximation is viewed from the perspective of numerical optimization in function space, rather than parameter space. A connection is made between stagewise additive expansions ...