Question

What are the advantages of transfer learning?

Answer 1

Following are the advantages of transfer learning :

1. Better initial model: In other methods of learning, you must create a model from scratch. Transfer learning is a better starting point because it allows us to perform tasks at a higher level without having to know the details of the starting model.
2. Higher learning rate: Because the problem has already been taught for a similar task, transfer learning allows for a faster learning rate during training.
3. Higher accuracy after training: Transfer learning allows a deep learning model to converge at a higher performance level, resulting in more accurate output, thanks to a better starting point and higher learning rate.