Transfer Learning

What is transfer learning?

Transfer learning is the task of using a pre-trained model and applying it to a new task, i.e., transferring the knowledge learned from one task to another. This is useful because the model doesn’t have to learn from scratch and can achieve higher accuracy in less time as compared to models that don’t use transfer learning.