TRANSFER LEARNING IN DEEP NEURAL NETWORKS

Transfer learning emerges as a powerful methodology within the realm of deep neural networks. This concept involves leveraging pre-trained models, which have been saturated 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 miti