TRANSFER LEARNING IN DEEP NEURAL NETWORKS

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 extensive datasets, to accelerate the training process for new tasks. By migrating the learned representations from the source domain to the target domain, transfer learning a