![Cover image for Introduction to Transfer Learning Algorithms and Practice Cover image for Introduction to Transfer Learning Algorithms and Practice](/client/assets/5.0.0.9/ctx//client/images/no_image.png)
Title:
Introduction to Transfer Learning Algorithms and Practice
Author:
Wang, Jindong. author.
ISBN:
9789811975844
Edition:
1st ed. 2023.
Physical Description:
XXI, 329 p. 1 illus. in color. online resource.
Series:
Machine Learning: Foundations, Methodologies, and Applications,
Contents:
Part I. Foundations of Transfer Learning -- Chapter 1. Introduction -- Chapter 2. From Machine Learning to Transfer Learning -- Chapter 3. Overview of Transfer Learning Algorithms -- Chapter 4. Instance Weighting Methods -- Chapter 5. Statistical Feature Transformation Methods -- Chapter 6. Geometrical Feature Transformation Methods -- Chapter 7. Theory, Evaluation, and Model Selection -- Part II. Modern Transfer Leaning -- Chapter 8. Pre-training and Fine-tuning -- Chapter 9. Deep Transfer Learning -- Chapter 10. Adversarial Transfer Learning -- Chapter 11. Generalization in Transfer Learning -- Chapter 12. Safe & Robust Transfer Learning -- Chapter 13. Transfer Learning in Complex Environments -- Chapter 14. Low-resource Learning -- Part III. Applications -- Chapter 15. Transfer Learning for Computer Vision -- Chapter 16. Transfer Learning for Natural language Processing -- Chapter 17. Transfer Learning for Speech Recognition -- Chapter 18. Transfer Learning for Activity Recognition -- Chapter 19. Federated Learning for Personalized Healthcare -- Chapter 20. Concluding Remarks.
Added Author:
Added Corporate Author:
Electronic Access:
https://doi.org/10.1007/978-981-19-7584-4Copies:
Available:*
Library | Material Type | Item Barcode | Shelf Number | Status | Item Holds |
---|---|---|---|---|---|
Searching... | E-Book | 520394-1001 | XX(520394.1) | Searching... | Searching... |