Tentative Course Schedule
| Week | Topic (first half) | Topic (second half) | Note |
|---|---|---|---|
| 1 (1/18) |
Liangliang Course overview |
Xiaodong, Liangliang,
Deep learming demos: |
First homework: please email your solution to Yizhou Wang (yw2875_at_columbia.edu) |
| 2 (1/25) | Xiaodong Basic math for neural networks |
Kapil Optimization techniques for neural networks Liangliang What we can do with deep learning toolkits |
First homework deadline: Noon of Jan 25. |
| 3 (2/1) | Chad Tutorial on Keras |
In-class programming |
Extended homework deadline: Noon of Feb 1 (For those who joined late from the waiting list) Registering student presentation slots at Google Group |
| 4 (2/8) | Oscar Chang The best performer of in class programming context |
Xiaodong Deep Learning for Automatic Speech Recognition – Part I |
Deadline of registering student presentation: Feb 9 Finalize your registration: Google spreadsheet |
| 5 (2/15) | Xiaodong Deep Learning for Automatic Speech Recognition – Part II |
Emily Hua and Kaili Chen: Convolutional Neural Networks for Speech Recognition
Liangliang: How to find an innovative project idea |
|
| 6 (2/22) |
Markus Nussbaum-Thom End-to-end speech recognition |
student presentations: Zixiaofan Yang and Xing Lan: End2End speech recognition with RNN Wanting Wang: Neural Speech Recognizer Oscar Chang and Siddharth Varia: Deep Speech2 | Submitting final project team information here |
| 7 (3/1) |
Kapil Language Representation and Modeling |
student presentations: Elsbeth Turcan and Fei-Tzin Lee: Varational Autoencoders Write Poetry Jon Koss and Abhishek Jindal: Fast Text |
|
| 8 (3/8) |
Kapil Sequence-to-Sequence Architectures |
student presentations: Anshul Sacheti and YangLu Piao, LSTM: A Search Space Odyssey Sun Mao and Yu Zheng, Translation in Linear Time |
|
| 9 (3/15) | No class (spring break) | No class (spring break) | |
| 10 (3/22) | Kapil Applications of natural language processing |
student presentations: Akshay Khatri Apoorv Kulshreshtha and Samarth Tripathi: LSTM Networks for Machine Reading Jose Ruiz and Pablo Vicente: Dueling network architectures for deep reinforcement learning |
|
| 11 (3/29) |
Liangliang Image recognition misc: model adaption, hyperface, and mask r-cnn |
student presentations: Mingyang Zheng and Lingyu Zhang: SqueezeNet Wenxin Chen and Wen Zhang: Ignacio Aranguren and Rahul Rana: Face Net |
Final project checkpoint |
| 12 (4/5) | Nikolai Yakovenko Poker AI |
student presentations:
Chen-Yu Yen and Yu Chun Chien Deep Q-Network Ruixuan Zhng and Xiang Hua, DeepStack for No-Limit Poker Richard Godden and Yogesh Garg, Generative Adversarial Nets |
|
| 13 (4/12) | Shiyu Chang: WaveNet |
Student presentation: Anthony Alvarez and GwonJae Cho: Google’s Neural Machine Translation System Manu Gandham and Harish Shanker: Skip Thought Vectors Hassan Akbari and Himani Arora: Visual Question Answering |
|
| 14 (4/19) | No class | Preparing for the final project | |
| 15 (4/26) | final project presentation at 750 CEPSR | ||
| (5/7) | final project report due |