Stochastic Gradient Descent.

Stochastic Gradient Descent (SGD) The stochastic method referred to is Stochastic Gradient Descent (SGD). Unlike traditional gradient descent, which uses the entire dataset to compute the gradient of the loss function, SGD updates the model parameters using only a...

Gradient descent technique

Gradient descent is a method for unconstrained mathematical optimization. It is a first-order iterative algorithm for finding a local minimum of a differentiable multivariate function. The core idea behind gradient descent is to iteratively adjust the parameters of...