Applied deep learning and computer vision for self-driving cars build autonomous vehicles using deep neural networks and behavior-cloning techniques
This book teaches you the different techniques and methodologies associated while implementing deep learning solutions in self-driving cars. You will use real-world examples to implement various neural network architectures to develop your own autonomous and automated vehicle using the Python enviro...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Birmingham
Packt Publishing
2020
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| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | This book teaches you the different techniques and methodologies associated while implementing deep learning solutions in self-driving cars. You will use real-world examples to implement various neural network architectures to develop your own autonomous and automated vehicle using the Python environment |
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| Item Description: | Table of ContentsThe Foundation of Self-Driving CarsDive Deep into Deep Neural NetworksImplementing a Deep Learning Model using KerasComputer Vision for Self-Driving CarsFinding Road Markings using OpenCVImproving the Image Classifier with CNNRoad Sign Detection using Deep LearningThe Principles and Foundations of Semantic SegmentationImplementation of Semantic SegmentationBehavior Cloning using Deep LearningVehicle Detection using OpenCV and Deep LearningNext Steps |
| Physical Description: | 1 online resource |
| ISBN: | 9781838647025 1838647023 |