Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
network for more controlled fine-tuning. Furthermore, we addressed the significance of defining the model’s floating-point precision and the importance of toggling between training and validation modes during fine-tuning. Moreover, we explored how to make the most out of both single GPU and