A.
Through transfer learning, methods are developed to transfer knowledge from one or more of these source tasks to improve learning in a related target task.
B.
The goal of this transfer of learning strategies is help evolve machine learning to make it as efficient as human learning.
C.
Transfer learning is also useful during deployment of upgraded technology such as a chatbot. If the new domain is similar enough to previous deployments, transfer learning can assess which knowledge should be transplanted into the next.
D.
Using transfer learning, developers can decide what knowledge & data is reusable from the previous deployment, & transfer that information for use when developing the upgraded version.