Deep Learning, Pytorch, Fine Tuning, Computer Vision, Transfer Learning.
prevent overfitting and improve model generalization. Regularization terms can help control the complexity of the model and reduce the risk of overemphasising specific patterns or features in the data. L2 regularization can be applied by setting the weight_decay value in the optimizer, while L1