Last week, Tesla Motors made the news for delivering big with its smart summon feature on their cars. The cars can now be made to move around the parking lot with just a click. A myriad of tools and frameworks run in the background which makes Tesla’s futuristic features a great success. One such framework is PyTorch.
PyTorch has gained popularity over the past couple of years and it is now powering the fully autonomous objectives of Tesla motors.
During a talk for the recently-concluded PyTorch developer conference, Andrej Karpathy, who plays a key role in Tesla’s self-driving capabilities, spoke about how the full AI stack utilises PyTorch in the background.
Tesla WorkFlow With PyTorch
via PyTorch
Tesla Motors is known for pioneering the self-driving vehicle re
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Ram Sagar
I have a master's degree in Robotics and I write about machine learning advancements.
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