Deep Transfer Learning
Transfer learning emerges as a powerful approach within the realm of deep neural networks. This strategy involves leveraging pre-trained models, which have been saturated on extensive datasets, to boost the training process for new tasks. By porting the learned representations from the source domain to the target domain, transfer learning reduces t