DEEP LEARNING
DS-GA 1008 · SPRING 2020 · NYU CENTER FOR DATA SCIENCE
| INSTRUCTORS | Yann LeCun & Alfredo Canziani |
| LECTURES | Mondays 16:55 – 18:35, GCASL C95 |
| PRACTICA | Tuesdays 19:10 – 20:00, GCASL C95 |
| FORUM | r/NYU_DeepLearning |
| DISCORD | NYU DL |
| MATERIAL | Google Drive, Notebooks |
Description
This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition. The prerequisites include: DS-GA 1001 Intro to Data Science or a graduate-level machine learning course.
Lectures
Legend: 🖥 slides, 📓 Jupyter notebook, 🎥 YouTube video.
People
| Role | Photo | Contact | About |
|---|---|---|---|
| Instructor |  |
Yann LeCun yann@cs.nyu.edu |
Silver Professor in CS at NYU and Turing Award winner |
| Instructor |  |
Alfredo Canziani canziani@nyu.edu |
Asst. Prof. in CS at NYU |
| Assistant |  |
Mark Goldstein goldstein@nyu.edu |
PhD student in CS at NYU |
| Webmaster |  |
Zeming Lin zl2799@nyu.edu |
PhD student in CS at NYU |