Transfer learning proffers as a powerful methodology within the realm of deep neural networks. This strategy entails leveraging pre-trained models, which have been saturated 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 a… Read More