Completed
Deep Learning
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Generalization Theory in Machine Learning
Automatically move to the next video in the Classroom when playback concludes
- 1 Introduction
- 2 Traditional Machine Learning
- 3 Deep Learning
- 4 Deep Learning Everywhere
- 5 Image Classification
- 6 ImageNet
- 7 Classification
- 8 Classification Notation
- 9 Classification Loss
- 10 Hypothesis Classes
- 11 Kernel Methods
- 12 Gaussian Kernel
- 13 Quadratic Loss
- 14 Summary
- 15 Statistical Learning Theory
- 16 Curse of Dimensionality
- 17 Gap for Learning
- 18 Proof
- 19 First Inequality
- 20 Defining Complexity
- 21 Empirical Complexity
- 22 NonEmpirical Complexity
- 23 The Gap
- 24 McDermotts Inequality
