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)

• 03/29: Backward Propagation (slides) (code)

• 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)

• 05/10: Word2vec (ref link: link1, link2)

• 05/17: Word2vec (code: simple version)

• 05/24: Convolutional Neural Networks (slides) (code)

• 05/31: CNN (code)

• 06/07: Prof. Wang's Talk

• 06/14: RNN (code)

• 06/21: Final Exam