Transfer Learning
by Qiang Yang, Yu Zhang, Wenyuan Dai, Sinno Jialin Pan
An authoritative resource on transfer learning methods, covering theory and practice for applying knowledge across domains in machine learning.
About This Book
Transfer Learning presents foundational concepts and methods for applying knowledge gained from one domain to another.
The book covers theoretical frameworks and practical approaches developed by leading researchers in the field.
Readers will explore how transfer learning improves model performance when data is limited or domains differ.
Topics include domain adaptation, multi-task learning, and related machine learning strategies.
Reviews
No reviews yet. Be the first to review this book!