Stochastic Gradient Descent with Restarts

Simply finding a learning rate to undergo gradient descent will help minimize the loss of a neural network. However, there are additional methods that can make this process smoother, faster, and more accurate. The first technique is Stochastic Gradient Descent with Restarts (SGDR), a variant of learning rate annealing, which gradually decreases the learning rate...