Software Engineering And Web Development: BGD, MBGD, SGD Explained
Batch Gradient Descent, Mini-Batch Gradient Descent and Stochastic Gradient Descent explained with PyTorch examples.
Buy Me a Coffee☕ *Memos: My post explains Batch, Mini-Batch and Stochastic Gradient Descent with DataLoader() in PyTorch. My post explains Batch Gradient Descent without DataLoader() in PyTorch. My post explains optimizers in PyTorch. There are Batch Gradient Descent(BGD), Mini-Batch Gradient Descent(MBGD) and Stochastic Gradient Descent(SGD) which are the ways of how to take data from dataset to do gradient descent with the optimizers such as Adam(), SGD(), RMSprop(), Adadelta(), Adagrad(), etc in PyTorch. *Memos: SGD() in PyTorch is just the basic gradient descent with no special feature...