Learning CS229
The repo records my solutions to all assignments and projects of Stanford CS229 Fall 2017.
One of many my self-studied courses. You can also check out some of them via belowing links:
- CS224n Natural Language Processing with Deep Learning, Stanford
- CS224w Machine Learning with Graphs, Stanford
It's the open Internet and the great and kind minds that makes a glance at the beautiful knowledge world possible for us navigators.
Thousand Thanks to those kind and cool people!
[Disclaimer] For students who are taking this course, you have to be responsible for yourself and obey the Honor Code not to refer this repo.
Introduction ๐ก
The main learning materials are Fall 2018 class notes and CS229 open course videos.
You can open a new issue or send me a email if you find any mistakes.
The course page is here. http://cs229.stanford.edu/syllabus.html
Accomplishment ๐
- Assignment #1 (๐)
- Assignment #2 (๐)
- problem set: ps2
- solution: link
- source code:
- Logistic Regression: Training stability
- Spam classi๏ฌcation: Naive Bayes
- Assignment #3 (๐)
- problem set: ps3
- solution: link
- source code: - K-means: Image Compression
- Assignment #4 (๐)
- Project
- I'll try to solve one of problems in kaggle competition and take it as my class projcet. More details can be seen in my repository.
Tools ๐จ
VS Code
Python 3.6.4
PyTorch 1.0.0
Tex Live 2018