CIL review notes

Here are my review notes of course Computational Intelligence Lab opened by ETH Zurich, 2019 Spring.

These notes are my questions/understandings/new findings of related topics, instead of detailed lecture notes. Not all knowledge points are covered, which you may refer to the lecture slides/notes/videos or other resources.

The values of these notes are my questions and thoughts. I believe question is the best teacher.

Content

Introduction

Autoencoder

• Linear autoencoder
• Matrix completion
• Non-negative matrix factorization

Word Embedding

• Word Embedding

Data Clustering

• Clustering

Neural Network

• Neural Network

Generative Model

• Generative Model

Sparse Learning

• Sparse coding
• Dictionary learning

Other Resources

I also wrote the last minute summary and cheatsheet for this course.

Summary

Cheatsheet