صورة الغلاف

Introduction to Transfer Learning Algorithms and Practice /

Transfer learning is one of the most important technologies in the era of artificial intelligence and deep learning. It seeks to leverage existing knowledge by transferring it to another, new domain. Over the years, a number of relevant topics have attracted the interest of the research and applicat...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Wang, Jindong (مؤلف), Chen, Yiqiang (مؤلف)
مؤلف مشترك: SpringerLink (Online service)
التنسيق: الكتروني كتاب الكتروني
اللغة:الإنجليزية
منشور في: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
الطبعة:1st ed. 2023.
سلاسل:Machine Learning: Foundations, Methodologies, and Applications,
الموضوعات:
Machine learning.
Computer science.
Computer vision.
Natural language processing (Computer science).
Machine Learning.
Theory and Algorithms for Application Domains.
Computer Vision.
Natural Language Processing (NLP).
الوصول للمادة أونلاين:https://doi.org/10.1007/978-981-19-7584-4
الوسوم: إضافة وسم
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جدول المحتويات:
  • 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.

مواد مشابهة