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Python Deep Learning

You're reading from   Python Deep Learning Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789348460
Length 386 pages
Edition 2nd Edition
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Authors (5):
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Gianmario Spacagna Gianmario Spacagna
Author Profile Icon Gianmario Spacagna
Gianmario Spacagna
Daniel Slater Daniel Slater
Author Profile Icon Daniel Slater
Daniel Slater
Valentino Zocca Valentino Zocca
Author Profile Icon Valentino Zocca
Valentino Zocca
Peter Roelants Peter Roelants
Author Profile Icon Peter Roelants
Peter Roelants
Ivan Vasilev Ivan Vasilev
Author Profile Icon Ivan Vasilev
Ivan Vasilev
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Toc

Table of Contents (12) Chapters Close

Preface 1. Machine Learning - an Introduction FREE CHAPTER 2. Neural Networks 3. Deep Learning Fundamentals 4. Computer Vision with Convolutional Networks 5. Advanced Computer Vision 6. Generating Images with GANs and VAEs 7. Recurrent Neural Networks and Language Models 8. Reinforcement Learning Theory 9. Deep Reinforcement Learning for Games 10. Deep Learning in Autonomous Vehicles 11. Other Books You May Enjoy

Deep Learning in Autonomous Vehicles

Let's think about how autonomous vehicles (AVs) would 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 a side effect. 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 and going to just-in-time manufacturing. In short, making AVs work is a very high...

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