What do you understand by transfer learning? Name a few commonly used transfer learning models.

Transfer learning is the process of transferring the learning from a model to another model without having to train it from scratch. It takes critical parts of a pre-trained model and applies them to solve new but similar machine learning problems.

Some of the popular transfer learning models are:

• VGG-16

• BERT

• GTP-3

• Inception V3

• XCeption