LEVERAGING TRANSFER LEARNING

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