Stochastic Gradient, Machine Learning, Artificial Intelligence, Data Science.
Stochastic Gradient Descent is different from Gradient Descent in a way when it updates the parameters or hyperparameters. In SGD the parameters are updated after each sample while in case of GD they are updated after entire dataset (same as one epoch). In Gradient Descent, the weights and biases