Transfer Learning
by Qiang Yang, Yu Zhang, Wenyuan Dai, Sinno Jialin Pan
Transfer Learning examines a key area of machine learning concerned with reusing knowledge across tasks or settings. Written by Qiang Yang, Yu Zhang, Wenyuan Dai, and Sinno Jialin Pan, this focused volume supports readers studying artificial intelligence and contemporary learning methods.
About This Book
Transfer Learning explores a significant topic in artificial intelligence and machine learning: how knowledge gained in one context can support learning in another.
The book offers a focused resource for readers seeking to understand the ideas and applications associated with transfer learning.
Written by Qiang Yang, Yu Zhang, Wenyuan Dai, and Sinno Jialin Pan, it is suited to students, researchers, and professionals interested in modern machine learning.
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