Machine Learning, Data Science, Artificial Intelligence, Data, Deep Learning.
isn’t the best the model can achieve. It also requires that the entire training set resides in memory and is available to the algorithm. Stochastic Gradient Descent Stochastic Gradient Descent updates the parameters according to the gradient of the error with respect to a single training example.