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220323s2020 enka ob 001 0 eng d |
| 020 |
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|a 9781838647025
|q (electrónico)
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|a 1838647023
|q (electrónico)
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|a 9781838646301
|q (impreso)
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|a 1838646302
|q (impreso)
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| 035 |
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|a (OCoLC)1305062484
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|a (OCoLC)on1305062484
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|a U@S
|b spa
|c U@S
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|a U@SA
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4 |
|a TL152.8
|b .R36 2020eb
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| 099 |
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|a Recurso electrónico en INTERNET
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| 100 |
1 |
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|a Ranjan, Sumit.
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| 245 |
1 |
0 |
|a Applied deep learning and computer vision for self-driving cars
|h [recurso electrónico] :
|b build autonomous vehicles using deep neural networks and behavior-cloning techniques /
|c Sumit Ranjan, S. Senthamilarasu.
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| 250 |
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|a 1st ed.
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| 260 |
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|a Birmingham :
|b Packt Publishing,
|c 2020.
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| 300 |
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|a 1 recurso en línea (vi, 318 p.) :
|b il.
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| 516 |
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|a Libro electrónico.
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| 500 |
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|a Título tomado de la pantalla de presentación (visto 23 de marzo de 2022)
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| 538 |
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|a Modo de acceso: Disponible en línea a través de Internet.
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| 504 |
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|a Incluye referencias bibliográficas e índice.
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| 505 |
0 |
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|a Preface -- Section 1. Deep Learning Foundation and SDC Basics: 1. The Foundation of Self-Driving Cars -- 2. Dive Deep into Deep Neural Networks -- 3. Implementing a Deep Learning Model Using Keras -- Section 2. Deep Learning and Computer Vision Techniques for SDC: 4. Computer Vision for Self-Driving Cars -- 5. Finding Road Markings Using OpenCV -- 6. Improving the Image Classifier with CNN -- 7. Road Sign Detection Using Deep Learning -- Section 3. Semantic Segmentation for Self-Driving Cars: 8. The Principles and Foundations of Semantic Segmentation -- 9. Implementing Semantic Segmentation -- Section 4. Advanced Implementations: 10. Behavioral Cloning Using Deep Learning ; 11. Vehicle Detection Using OpenCV and Deep Learning ; 12. Next Steps.
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| 520 |
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|a "Thanks to a number of recent breakthroughs, self-driving car technology is now an emerging subject in the field of artificial intelligence and has shifted data scientists' focus to building autonomous cars that will transform the automotive industry. This book is a comprehensive guide to use deep learning and computer vision techniques to develop autonomous cars. Starting with the basics of self-driving cars (SDCs), this book will take you through the deep neural network techniques required to get up and running with building your autonomous vehicle. Once you are comfortable with the basics, you'll delve into advanced computer vision techniques and learn how to use deep learning methods to perform a variety of computer vision tasks such as finding lane lines, improving image classification, and so on. You will explore the basic structure and working of a semantic segmentation model and get to grips with detecting cars using semantic segmentation. The book also covers advanced applications such as behavior-cloning and vehicle detection using OpenCV, transfer learning, and deep learning methodologies to train SDCs to mimic human driving." --Descripción del editor.
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| 650 |
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|a Automated vehicles
|x Computer simulation.
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| 650 |
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0 |
|a Machine learning.
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| 650 |
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0 |
|a Neural networks (Computer science)
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| 650 |
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7 |
|a Vehículos automatizados
|x Simulación computacional.
|2 UDESA
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| 650 |
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7 |
|a Aprendizaje automático.
|2 UDESA
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| 650 |
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7 |
|a Redes neuronales (Computación)
|2 UDESA
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| 700 |
1 |
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|a Senthamilarasu, S.
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| 856 |
4 |
0 |
|z Solo para usuarios autorizados, un solo acceso simultáneo
|u https://ebookcentral.proquest.com/lib/sanandres/detail.action?docID=6315989
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