Completed
Example
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Building Stable Kernel Trees with Machine Learning
Automatically move to the next video in the Classroom when playback concludes
- 1 Introduction
- 2 How do stuff get in stable
- 3 What is a fix
- 4 Why Stable Trees
- 5 Stable Tags
- 6 Fix Differently
- 7 Reviewing Patches
- 8 Automating Patches
- 9 Unbalanced Talk
- 10 Neural Network
- 11 Problems with Neural Network
- 12 Not all fixes are stable
- 13 Commits to Stable
- 14 Conclusions
- 15 Explanation
- 16 Example
- 17 Wellknown Developers
- 18 Neural Networks
- 19 Training Data
- 20 How can we improve
- 21 Convolutional Neural Network
- 22 Image Processing
- 23 MaxPooling
- 24 Text
- 25 Natural Language
- 26 Representation
- 27 Dropping Stop Words
- 28 Code Structure
- 29 Results
- 30 Future work
- 31 Bug fixes
- 32 Non developers as maintainers
- 33 Propagation
- 34 Questions
