In deep learning, fine-tuning is an approach to transfer learning in which the weights of a pre-trained model are trained on a new, smalle and high-quality dataset.
In deep learning, fine-tuning is an approach to transfer learning in which the weights of a pre-trained model are trained on a new, smalle and high-quality dataset.
