How Tesla Uses Deep Learning For It's Self Driving Cars

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Tesla has currently pioneered a major shift in the auto industry towards Self-driving cars. Have you ever wondered how it achieves this? Let's discuss the basic essentials of Self-Driving capabilities in a Tesla Car:

1. Computer Vision:

A broad field in Artificial Intelligence focusing on enabling computers to see. Tesla cars primarily make use of 2 Computer Vision Applications that make use of Deep Learning; Image Localization and Image Classification. Image Localization allows Tesla cars to position where an object is while Image classification allows the car to identify the object. These two come hand in hand to allow Tesla cars to "see".

2. Decision Making:

Besides using Deep Learning to make more efficient models to enable Tesla cars to "see", it has to carry out these resource-intensive tasks in real time. So the chips in Tesla cars have to be powerful enough to handle all the computations in Self-Driving cars. Tesla recently unveiled their own chips in 2019, which they claim is 21x more powerful than Nvidia chips.

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