Pytorch, Machine Learning, Gradient Descent, Python, Hands On Tutorials.
understand what’s going on underneath. Consider the many parameters of Torch’s stochastic gradient descent (SGD) optimizer: def torch.optim.SGD( params, lr=0.001, momentum=0, dampening=0, weight_decay=0, nesterov=False, *, maximize=False, foreach=None, differentiable=False): # Implements stochastic