Deep Transfer Learning
Transfer learning emerges as a powerful methodology within the realm of deep neural networks. This concept utilizes leveraging transfer pre-trained models, which have been exposed on immense datasets, to boost the training process for new tasks. By porting the learned representations from the source domain to the target domain, transfer learning mi