DEEP LEARNING (with PyTorch) course by NYU (2020)

This study group will follow the Deep Learning with Pytorch course at NYU.

The course is about the latest techniques in deep learning in the areas of computer vision, NLP, and speech. The course also has dedicated lectures on graph neural networks and energy based models. Each lecture is followed by a practicum video that implements learnings in PyTorch.

The study group will aim to cover all 31 videos in the series, one every week if possible. Each session will be discussion of the lecture/code led by a volunteer.

This study group meets every Saturday at 8am PT starting on January 2, 2021 and will run through August 28th, 2021. The study group slack channel is #dl_pytorch (you can join our slack community by clicking on “join us” at twimlai.com/community).

Course home page -> https://atcold.github.io/pytorch-Deep-Learning/

Lecture videos -> https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq