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