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Advanced Deep Learning with Python

You're reading from   Advanced Deep Learning with Python Design and implement advanced next-generation AI solutions using TensorFlow and PyTorch

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Product type Paperback
Published in Dec 2019
Publisher Packt
ISBN-13 9781789956177
Length 468 pages
Edition 1st Edition
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Author (1):
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Ivan Vasilev Ivan Vasilev
Author Profile Icon Ivan Vasilev
Ivan Vasilev
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Core Concepts
2. The Nuts and Bolts of Neural Networks FREE CHAPTER 3. Section 2: Computer Vision
4. Understanding Convolutional Networks 5. Advanced Convolutional Networks 6. Object Detection and Image Segmentation 7. Generative Models 8. Section 3: Natural Language and Sequence Processing
9. Language Modeling 10. Understanding Recurrent Networks 11. Sequence-to-Sequence Models and Attention 12. Section 4: A Look to the Future
13. Emerging Neural Network Designs 14. Meta Learning 15. Deep Learning for Autonomous Vehicles 16. Other Books You May Enjoy

Deep Learning for Autonomous Vehicles

Let's think about how autonomous vehicles (AVs) will affect our lives. For one thing, instead of focusing our attention on driving, we'll be able to do something else during our trip. Catering to the needs of such travelers could probably spawn a whole industry in itself. But that's just an added bonus. If we can be more productive or just relax during our travels, it is likely that we'll start traveling more, not to mention the benefits for people with limited ability to drive themselves. Making such an essential and basic commodity as transportation more accessible has the potential to transform our lives. And that's just the effect on us as individuals—AVs can have profound effects on the economy too, starting from delivery services to just-in-time manufacturing. In short, making AVs work is a very high-stakes...

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