What are the advantages of transfer learning?

1.	What are the advantages of transfer learning?
Answer» Following are the advantages of transfer LEARNING : 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. Higher learning rate: Because the problem has already been TAUGHT for a similar task, transfer learning allows for a faster learning rate during training. 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.

Answer»

Following are the advantages of transfer LEARNING :

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.
Higher learning rate: Because the problem has already been TAUGHT for a similar task, transfer learning allows for a faster learning rate during training.
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.

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