Transfer learning
In transfer learning, knowledge gained from one task is actively applied to a different yet related task, benefiting model performance. The goal of transfer learning is to leverage existing knowledge to improve learning and generalization in new, previously unseen tasks. In traditional machine learning, models are trained exclusively for a specific task, limiting the use …