Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
that are required during the training process, such as computing gradients, updating parameters, and applying regularization techniques like dropout. In this mode, the model behaves as if it is being trained on a training dataset and is ready to learn from the data. model.train() # sets model in