Deep Transfer Learning
Transfer learning stands as a powerful approach within the realm of deep neural networks. This paradigm involves leveraging pre-trained models, which have been exposed on massive datasets, to enhance the training process for new tasks. By transferring the learned representations from the source domain to the target domain, transfer learning reduces