Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
might be evaluated based on metrics other than the loss itself. In such cases, you can design or adapt the loss function to directly optimize for these metrics. Regularization — Regularization methods, such as L1 or L2 regularization, can be incorporated into the loss function during fine-tuning to