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Python Deep Learning - Second Edition
book

Python Deep Learning - Second Edition

by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
January 2019
Intermediate to advanced
386 pages
11h 13m
English
Packt Publishing
Content preview from Python Deep Learning - Second Edition

Summary

In this chapter, we explored the applications of deep learning in AVs. We started with a brief historical reference of AV research. Then, we described the components of the AV system and identified when it's appropriate to use DL techniques. Next, we introduced driving policy with behavioral cloning and Waymo's ChauffeurNet. And finally, we introduced DL in the cloud.

This chapter concludes our book. I hope you enjoyed the read!

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Publisher Resources

ISBN: 9781789348460Supplemental Content