Transfer learning proffers as a powerful methodology within the realm of deep neural networks. This concept entails leveraging pre-trained models, which have been trained on immense datasets, to accelerate the training process for new tasks. By porting the learned representations from the source domain to the target domain, transfer learning reduce… Read More