Deep Learning (Spring 2018)
Course slides:
02/22: Course introduction (slides)
03/01: Machine Learning for beginner (slides)
03/08: Basic Concept of Neural Networks (slides)
03/15: Introduction to Pytorch (slides)
03/22: Basic Concept of Optimization (slides)
04/05: Spring Break
04/12: Logistic Regression via NN (slides)
04/19: Logistic Regression via NN (code)
04/26: Auto Encoder
05/03: Auto Encoder (code)
05/17: Word2vec (code: simple version)
05/31: CNN (code)
06/07: Prof. Wang's Talk
06/14: RNN (code)
06/21: Final Exam