CS231N Staff
@cs231n
Deep Learning for Computer Vision (Spring 2022)
@Stanford CS course
Instructors: @drfeifei, @jiajunwu_cs, and @RuohanGao1
Head TA: @moo_jin_kim
ID: 2872306178
http://cs231n.stanford.edu 23-10-2014 00:47:06
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First instructor meeting for the 2020 Spring iteration of CS231n has just wrapped up! This year, we’re excited to be teaching the entirety of the course virtually, starting April 6! Stay tuned cs231n.stanford.edu w/ Fei-Fei Li Danfei Xu Ranjay Krishna william_shen
You can now run our official Python/Numpy tutorial in Colaboratory! Click the badge at the top of the page to get introduced to Google's flavor of Jupyter notebooks 📒
In 24hrs, Ranjay Krishna, Danfei Xu & I will be teaching 600+ CS231N Staff students online. Nerve recking! It’s the 6th year we are offering this class, in an entirely different world. Best wishes to all the teaching team and students! cs231n.stanford.edu
Survived Lecture 1 of CS231N Staff today, w/ ~400 students online, from Vietnam to NYC, London to Texas. 200 more will be watching the recording. Students, Thank you for doing your part for #SocialDistancing! And thank you for continuing to LEARN when even in trying times!
🙌 Alexandre Passos and I had a blast presenting to @Kevin_Zakka's CS 231n students at Stanford University today! Learn more about training image classifiers with TensorFlow 2.x, tf.keras, and TF-Hub in the Colaboratory notebooks below: 👉tensorflow.org/tutorials/imag… 👉tensorflow.org/tutorials/imag…
The first lecture of the Spring 2021 iteration of CS231n was a success! Stay tuned on course progress at cs231n.stanford.edu, featuring instructors Fei-Fei Li, Ranjay Krishna, and Danfei Xu.
Academic quarter recap: here's a staff photo after the last lecture of CS231N Staff. It's crazy that we were the largest course at Stanford this quarter. This year, we added new lectures and assignments (open sourced) on attention, transformers, and self-supervised learning.
It’s been 3 yrs since the last live teaching of CS231N Staff Stanford University! Today is our 1st class for the new term. Seeing hundreds of students filing into the lecture hall was just an amazingly energizing scene! Enrollment is now full at capacity (500), hope we will get more in soon!
We are incredibly thrilled to be back in person for CS231N (Spring 2022) at Stanford University, featuring instructors Fei-Fei Li, Jiajun Wu, and Ruohan Gao! Follow along with new course material at cs231n.stanford.edu. Looking forward to another fantastic quarter with our students!
In lectures 2-4, Ruohan Gao 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!
Our “Deep Learning for Computer Vision” class CS231N Staff finished with a blast. Four hundred+ students presented their course projects, using computer vision and deep learning to tackle creative problems in healthcare, sustainability, self-driving car, graphics, and much more. 😍