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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 2. Neural Networks FREE CHAPTER 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

Brief history of AV research

The first serious attempt to implement self-driving cars began in the 1980s in Europe and the USA. Since the mid 2000s, progress has rapidly accelerated. The following is a timeline of some AV research historic points and milestones:

  • The first major effort in the area was the Eureka Prometheus Project (https://en.wikipedia.org/wiki/Eureka_Prometheus_Project), which lasted from 1987 to 1995. It culminated in 1995, when an autonomous Mercedes-Benz S-Class took a 1,600 km trip from Munich to Copenhagen and back using computer vision. At some points, the car achieved speeds of up to 175 km/h on the German Autobahn (fun fact: some sections of the Autobahn don't have speed restrictions). The car was able to overtake other cars on its own. The average distance between human interventions was 9 km, and at one point it drove 158 km without interventions...
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