Andrej Karpathy Academic Website

**Deprecated.** It's been a while since I graduated from Stanford. My main webpage has moved to [karpathy.ai](https://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 [OpenAI](http://openai.com/) 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](http://vision.stanford.edu/) 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)](http://cs231n.stanford.edu/). 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](https://twitter.com/karpathy/status/849338608297406465).



On a side for fun I [blog](http://karpathy.github.io/), [blog more](https://medium.com/@karpathy), and [tweet](https://twitter.com/karpathy). I developed a number of Deep Learning libraries in Javascript (e.g. [ConvNetJS](http://convnetjs.com/), [RecurrentJS](http://cs.stanford.edu/people/karpathy/recurrentjs/), [REINFORCEjs](http://cs.stanford.edu/people/karpathy/reinforcejs/), [t-sneJS](http://cs.stanford.edu/people/karpathy/tsnejs/)) because I love the web. I am sometimes jokingly referred to as _the_ reference human for ImageNet ( [post](http://karpathy.github.io/2014/09/02/what-i-learned-from-competing-against-a-convnet-on-imagenet/) :)). Whenever I can spare the time I maintain [arxiv-sanity.com](http://www.arxiv-sanity.com/), which lets you search and sort through almost 100,000 Arxiv papers on Machine Learning over the last 6 years.



**Timeline**.



2017-now:Sr. Director of AI at Tesla [(article)](https://techcrunch.com/2017/06/20/tesla-hires-deep-learning-expert-andrej-karpathy-to-lead-autopilot-vision/?)Neural Networks for the Autopilot

2016-2017:Research Scientist at [OpenAI](http://www.wired.com/2016/04/openai-elon-musk-sam-altman-plan-to-set-artificial-intelligence-free/)Deep Learning, Generative Models, Reinforcement Learning

Summer 2015:DeepMind InternshipDeep Reinforcement Learning group

Summer 2013:Google Research InternshipLarge-Scale Supervised Deep Learning for Videos

2011-2015:Stanford Computer Science Ph.D. studentDeep Learning, Computer Vision, Natural Language Processing. Adviser: [Fei-Fei Li.](http://vision.stanford.edu/)

Summer 2011:Google Research InternshipLarge-Scale Unsupervised Deep Learning for Videos

2009-2011:University of British Columbia: MScLear

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