TRANSFER LEARNING IN DEEP NEURAL NETWORKS

Transfer learning stands as a powerful technique within the realm of deep neural networks. This concept involves leveraging pre-trained models, which have been exposed on extensive datasets, to enhance the training process for new tasks. By migrating the learned representations from the source domain to the target domain, transfer learning alleviat