Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
model, adapt its head architecture to match the target task, and customize hyperparameters like learning rate, optimizer, and weight decay to optimize the fine-tuning process. Additionally, we looked into selecting appropriate loss functions and the benefits of freezing specific parts of the