Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
Thus a mini-batch ‘b’ is used to update the model parameters in each iteration. Stochastic Gradient Descent (SGD): updates the parameters using only a single training instance in each iteration. The training instance is usually selected randomly. Stochastic gradient descent is often preferred to