LEVERAGING TRANSFER LEARNING

Transfer learning emerges as a powerful methodology within the realm of deep neural networks. This strategy involves leveraging pre-trained models, which have been exposed on massive datasets, to accelerate the training process for new tasks. By transferring the learned representations from the source domain to the target domain, transfer learning