Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
is a technique used to prevent overfitting and encourage the model to learn simpler, more generalizable representations. Momentum is used in Stochastic Gradient Descent (SGD), to accelerate convergence and escape local minima. import torch.optim as optim # Define your optimizer with weight decay