TRANSFER LEARNING IN DEEP NEURAL NETWORKS

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