Stochastic Gradient, Machine Learning, Artificial Intelligence, Data Science.
are updated at the end of each epochs while in SGD the weights and biased are updated after a randomly selected sample within in a epoch is processed. Example Lets take an example to predicting a house price. The ML model will look like Step 1: While running the 1st Epoch pick a random sample and