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19min chapter
#252 – Elon Musk: SpaceX, Mars, Tesla Autopilot, Self-Driving, Robotics, and AI
Lex Fridman Podcast
The Iterative Process of Training Neural Networks for Autonomous Driving
This chapter discusses the iterative process of training neural networks for autonomous driving. It covers the evolution of neural network architecture in cars, optimizing the C compiler for maximum efficiency, and the use of image recognition and combining neural networks together. It also explores the challenges of reducing latency and jitter in sensor information for better control decisions.
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