Andrej Karpathy California, USA

  • Director of AI, Tesla (June 2017-present)
  • Research Scientist
  • PhD at Stanford University in Computer Vision


Deep Learning for Computer Vision
Deep Learning for Computer Vision


Andrej Karpathy works at Tesla as the director of AI, focusing on the perception of the Autopilot. Previously being a Research Scientist at “OpenAI” working on Deep Learning in Computer Vision, Generative Modeling and Reinforcement Learning.

Andrej has an extensive background in AI-related fields, having completed a PhD at Stanford University in computer vision, where he worked with Fei-Fei Li on Convolutional/Recurrent Neural Network architectures and their applications in Computer Vision, Natural Language Processing and their intersection. His dissertation work focused on creating a system by which a neural network could identify multiple discrete and specific items within an image, label them using natural language and report to a user. The dissertation also included developing a system that works in reverse, allowing for a model that can use descriptions from a user articulated in natural language (i.e. “white tennis shoes”) and find that object in a given image.

Over the course of his PhD he carried out two internships at Google where he worked on large-scale feature learning over YouTube videos, and in 2015 interned at DeepMind and worked on Deep Reinforcement Learning. Together with Fei-Fei, he designed and taught a new Stanford class on Convolutional Neural Networks for Visual Recognition. The class was the first Deep Learning course offering at Stanford and a remarkable statistic shows that the class has grown from 150 enrolled students in 2015 to 330 students in 2016, and 750 students in 2017.

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