Google Reveals "What is being Transferred" in Transfer Learning

"Transfer Learning will be the next driver of Machine Learning Success"- Andrew NG Recently, researchers from Google proposed the solution of a very fundamental question in the machine learning community -- What is being transferred in Transfer Learning? They explained various tools and analyses to address the fundamental question. The ability to transfer the domain knowledge of one machine in which it is trained on to another where the data is usually scarce is one of the desired capabilities for machines. Researchers around the globe have been using transfer learning in various deep learning applications, including object detection, image classification, medical imaging tasks, among others. Despite these utilisations, there are cases found by several researchers where there is a nontrivial difference in visual forms between the source and the target domain.