TRANSFER LEARNING IN DEEP NEURAL NETWORKS

Transfer learning emerges as a powerful technique within the realm of deep neural networks. This paradigm entails leveraging pre-trained models, which have been saturated on massive datasets, to enhance the training process for new tasks. By porting the learned representations from the source domain to the target domain, transfer learning mitigates