Question - What are some of the applications of transfer learning in Deep Learning?
Answer -
Transfer learning is a scenario where a large model is trained on a dataset with a large amount of data and this model is used on simpler datasets, thereby resulting in extremely efficient and accurate neural networks.
The popular examples of transfer learning are in the case of: