Transfer learning emerges as a powerful technique within the realm of deep neural networks. This strategy utilizes leveraging pre-trained models, which have been exposed on massive datasets, to boost the training process for new tasks. By migrating the learned representations from the source domain to the target domain, transfer learning mitigates