In lectures 5-12, @jiajunwu_cs and @RuohanGao1
discussed deep learning methods for Perceiving and Understanding the Visual World! In the next few lectures, we move on to Reconstructing and Interacting with the Visual World. Feel free to follow along at cs231n.stanford.edu/schedule.html!
Deep Learning for Computer Vision (Spring 2022)
@Stanford CS course
Instructors: @drfeifei, @jiajunwu_cs, and @RuohanGao1
Head TA: @moo_jin_kim
- In lectures 2-4, @RuohanGao1 discussed Deep Learning Basics and their applications in CV! In the next set of lectures, we move on to the topic of Perceiving and Understanding the Visual World. Feel free to follow along at cs231n.stanford.edu/schedule.html!
- We are incredibly thrilled to be back in person for CS231N (Spring 2022) at @Stanford, featuring instructors @drfeifei, @jiajunwu_cs, and @RuohanGao1! Follow along with new course material at cs231n.stanford.edu. Looking forward to another fantastic quarter with our students!
- The first lecture of the Spring 2021 iteration of CS231n was a success! Stay tuned on course progress at cs231n.stanford.edu, featuring instructors @drfeifei, @RanjayKrishna, and @danfei_xu.
- You can now run our official Python/Numpy tutorial in @GoogleColab! Click the badge at the top of the page to get introduced to Google's flavor of Jupyter notebooks 📒

