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