Andrej Karpathy Academic Website

It’s been a while since I graduated from Stanford. My main webpage has moved to karpathy.ai

Bio. I am the Sr. Director of AI at Tesla, where I lead the team responsible for all neural networks on the Autopilot. Previously, I was a Research Scientist at

On a side for fun I RecurrentJS, REINFORCEjs, the reference human for ImageNet (

Timeline.

2017-now:

Sr. Director of AI at Tesla (article)

Neural Networks for the Autopilot

2016-2017:

Research Scientist at OpenAI

Deep Learning, Generative Models, Reinforcement Learning

Summer 2015:

DeepMind Internship

Deep Reinforcement Learning group

Summer 2013:

Google Research Internship

Large-Scale Supervised Deep Learning for Videos

2011-2015:

Stanford Computer Science Ph.D. student

Summer 2011:

Google Research Internship

Large-Scale Unsupervised Deep Learning for Videos

2009-2011:

University of British Columbia: MSc

2005-2009:

University of Toronto: BSc

Double major in Computer Science and Physics

. I am the Sr. Director of AI at Tesla, where I lead the team responsible for all neural networks on the Autopilot. Previously, I was a Research Scientist at OpenAI working on Deep Learning in Computer Vision, Generative Modeling and Reinforcement Learning. I received my PhD from Stanford, where I worked with Fei-Fei Li on Convolutional/Recurrent Neural Network architectures and their applications in Computer Vision, Natural Language Processing and their intersection. Over the course of my PhD I squeezed in two internships at Google where I worked on large-scale feature learning over YouTube videos, and in 2015 I interned at DeepMind on the Deep Reinforcement Learning team. Together with Fei-Fei, I designed and was the primary instructor for a new Stanford class on Convolutional Neural Networks for Visual Recognition (CS231n) . The class was the first Deep Learning course offering at Stanford and has grown from 150 enrolled in 2015 to 330 students in 2016, and 750 students in 2017 On a side for fun I blog blog more , and tweet . I developed a number of Deep Learning libraries in Javascript (e.g. ConvNetJS t-sneJS ) because I love the web. I am sometimes jokingly referred to asreference human for ImageNet ( post :)). Whenever I can spare the time I maintain arxiv-sanity.com , which lets you search and sort through almost 100,000 Arxiv papers on Machine Learning over the last 6 years.