标签：Week ECE595 机器 04 Lecture 鲁棒 Video PDF 2020
-
鲁棒性：对抗性攻击、定向攻击和非定向攻击、最小距离攻击、最大允许攻击、基于规则的攻击。通过纳微扰。支持向量机的鲁棒性。
-
学习理论：偏差和方差，训练和测试，泛化，PAC框架，Hoeffding不等式，VC维。
Part 3: Learning Theory
Objective: Understand the theoretical limits of machine learning algorithms
Week 8: Lecture 22 (PDF) 2020-03-06 Is Learning Feasible? (Video)
Week 9: Lecture 23 (PDF) 2020-03-09 Probability Inequality (Video)
Week 9: Special Announcement about COVID-19. (PDF) 2020-03-11 (Video)
Week 9: Midterm (take home) See Instructions
Week 10: Lecture 24 (PDF) 2020-03-23 Probably Approximately Correct (Video 1) (Video 2)
Week 10: Lecture 25 (PDF) 2020-03-25 Generalization (Video 1) (Video 2)
Week 10: Lecture 26 (PDF) 2020-03-27 Growth Function (Video 1) (Video 2)
Week 11: Lecture 27 (PDF) 2020-03-30 VC Dimension (Video 1) (Video 2)
Week 11: Lecture 28 (PDF) 2020-04-01 Sample and Model Complexity (Video 1) (Video 2)
Week 11: Lecture 29 (PDF) 2020-04-03 Bias and Variance (Video 1) (Video 2)
Week 12: Lecture 30 (PDF) 2020-04-06 Overfit (Video 1)(Video 2)
Week 12: Lecture 31 (PDF) 2020-04-08 Regularization (Video 1) (Video 2)(Video 3)
Week 12: Lecture 32 (PDF) 2020-04-10 Validation (Video 1) (Video 2)
Part 4: Robust Machine Learning
Objective: Understand the robustness of machine learning algorithms
Week 13: Lecture 33 (PDF) 2020-04-13 Overview of Adversarial Attacks (Video 1) (Video 2)
Week 13: Lecture 34 (PDF) 2020-04-15 Minimum Distance Attack (Video 1) (Video 2)
Week 13: Lecture 35 (PDF) 2020-04-17 Maximum Loss Attack and Regularized Attack (Video 1) (Video 2)
Week 14: Lecture 36 (PDF) 2020-04-20 Defending Adversarial Attacks (Video 1) (Video 2)
Week 14: Lecture 37 (PDF) 2020-04-22 Robustness and Accuracy Trade-Off (Video 1) (Video 2)
Week 14: Lecture 38 (PDF) 2020-04-24 Conclusion: Practical Advices (Video 1) (Video 2)
标签：Week,ECE595,机器,04,Lecture,鲁棒,Video,PDF,2020 来源： https://www.cnblogs.com/cx2016/p/13743279.html
本站声明： 1. iCode9 技术分享网（下文简称本站）提供的所有内容，仅供技术学习、探讨和分享； 2. 关于本站的所有留言、评论、转载及引用，纯属内容发起人的个人观点，与本站观点和立场无关； 3. 关于本站的所有言论和文字，纯属内容发起人的个人观点，与本站观点和立场无关； 4. 本站文章均是网友提供，不完全保证技术分享内容的完整性、准确性、时效性、风险性和版权归属；如您发现该文章侵犯了您的权益，可联系我们第一时间进行删除； 5. 本站为非盈利性的个人网站，所有内容不会用来进行牟利，也不会利用任何形式的广告来间接获益，纯粹是为了广大技术爱好者提供技术内容和技术思想的分享性交流网站。