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