CS231N Staff

Our “Deep Learning for Computer Vision” class @cs231n 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. 😍

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!

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!

It’s been 3 yrs since the last live teaching of @cs231n @Stanford! 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!

Soon we will be releasing over 200 computer vision student group projects, on topics ranging from autonomous driving, denoising chest x-rays, understanding satellite images, colorizing old movies, estimating real-estate price, transfer learning on edge devices, etc

Our students were more than just computer science majors. We housed majors from immunology, anthropology, MBA, biology, geology, aeronautics, music, neuroscience, philosophy, and many more. We also had over 50 industry professionals remotely enroll.

Academic quarter recap: here's a staff photo after the last lecture of @cs231n. 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.

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.

🙌 @atpassos_ml and I had a blast presenting to @Kevin_Zakka's CS 231n students at @Stanford today! Learn more about training image classifiers with @TensorFlow 2.x, tf.keras, and TF-Hub in the @GoogleColab notebooks below: 👉tensorflow.org/tutorials/imag… 👉tensorflow.org/tutorials/imag…

Survived Lecture 1 of @cs231n 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!

In 24hrs, @RanjayKrishna, @danfei_xu & I will be teaching 600+ @cs231n 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

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 📒

@beladia @drfeifei Lecture core content is still the same so you can watch the Spring 2017 playlist here: youtube.com/playlist?list=…

@cs231n @drfeifei I was hoping that given the times, there may be an exception to allow others to audit the class. If not, I understand. I had taken a few grad classes at Stanford under certificate programs. Since those affiliations ended, I am certain I don't qualify. Thank you for the reply.

We're looking forward to the first class this Tuesday covering an intro to CV with some historical context! If you're excited to get started and a little rusty with Python, we've got you covered for the weekend with Module 0: Preparation. Check it out @ cs231n.github.io

@HCI_Research Unfortunately, this year's video recordings will not be released publicly. You can however watch the Spring 2017 videos which cover the same material at youtube.com/playlist?list=…

@cs231n Will new videos (2019 or 2020) get released to the public?

@beladia @drfeifei We are very open to auditing if you are a member of the Stanford community (registered student, staff, and/or faculty). If that is the case, email cs231n-spr1920-staff@lists.stanford.edu :)

@cs231n @drfeifei Can one audit this class to view the video lectures?

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/ @drfeifei @danfei_xu @RanjayKrishna william_shen

We've just posted this year's final course project reports online! cs231n.stanford.edu/reports2016.ht… big congrats to students!

We get about 10,000 visitors per day to our CS231n website. A lot of people looking to learn about Computer Vision/ConvNets/Deep Learning!