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