TRANSFER LEARNING IN DEEP NEURAL NETWORKS

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