Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
selecting the appropriate architecture, customizing the model head, configuring the loss function and learning rate, setting the desired floating-point precision, and determining which layers to freeze or fine-tune, and many more. In this article, we will explore each of these aspects in detail,