Pytorch, Machine Learning, Gradient Descent, Python, Hands On Tutorials.
minimum, as evidenced by the greater spacing between its early points. Meanwhile the L1 losses all display much more gradual approaches to their minima. Momentum The next most interesting parameter is the momentum, which dictates how much of the last step’s gradient to add in to the current