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Advanced Deep Learning with Python

You're reading from  Advanced Deep Learning with Python

Product type Book
Published in Dec 2019
Publisher Packt
ISBN-13 9781789956177
Pages 468 pages
Edition 1st Edition
Languages
Author (1):
Ivan Vasilev Ivan Vasilev
Profile icon Ivan Vasilev
Toc

Table of Contents (17) Chapters close

Preface 1. Section 1: Core Concepts
2. The Nuts and Bolts of Neural Networks 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

Introduction to AVs

We'll start this section with a brief history of AV research (which started surprisingly long ago). We'll also try to define the different levels of AV automation according to the Society of Automotive Engineers (SAE).

Brief history of AV research

The first serious attempts to implement self-driving cars began in the 1980s in Europe and the USA. Since the mid 2000s, progress has rapidly accelerated. 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...

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