Linear Regression, Gradient Descent, Machine Learning, Deep Learning, Naem Azam.
function Stochastic Gradient Descent Disadvantages Due to frequent updates, the steps taken towards the minima are very noisy. This can often lead the gradient descent into other directions. It loses the advantage of vectorized operations as it deals with only a single example at a time Frequent