TRANSFER LEARNING IN DEEP NEURAL NETWORKS

Transfer learning emerges as a powerful methodology within the realm of deep neural networks. This paradigm involves leveraging pre-trained models, which have been saturated on extensive datasets, to accelerate the training process for new tasks. By transferring the learned representations from the source domain to the target domain, transfer learn