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Practical Deep Learning for Cloud and Mobile by Meher Kasam, Siddha Ganju, Anirudh Koul

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Chapter 8. Deep Learning and Self-Driving Cars

A Note for Early Release Readers

This will be the 17th chapter of the final book.

If you have comments about how we might improve the content and/or examples in this book, or if you notice missing material, please reach out to the authors at practicaldlbook@gmail.com.

So far we have seen how deep learning allows computers to think like people and enables them to perform everyday tasks they would otherwise find almost impossible to perform, for example, telling cats from dogs and reading handwritten digits. While computers might find it difficult to perform these seemingly mundane day-to-day tasks, things get extremely complicated when we start talking about doing things that take humans years of practice to perfect. One such extremely complicated everyday tasks for a computer to perform is driving a car. In this chapter, we will take a look at the role deep learning plays in autonomous driving and get our hands dirty by training our very own self-driving car.

Even though it may seem like autonomous driving is a very recent technological development, research in this field originated over 30 years ago! Scientists at Carnegie Mellon University first tried their hands at this seemingly impossible feat back in 1984 when they started working on what would be known as the Navlab 1, Navlab being a shorthand for CMU’s Navigation Laboratory, a not-so-fancy name for what would turn out to be the first step into a very impressive future for ...

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