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▼a 1838647023
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▼a Ranjan, Sumit,
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▼a Applied deep learning and computer vision for self-driving cars:
▼b build autonomous vehicles using deep neural networks and behavior-cloning techniques /:
▼c Sumit Ranjan, Dr. S. Senthamilarasu. -
260
▼a Birmingham:
▼b Packt Publishing,
▼c 2020. -
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▼a 1 online resource.
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▼a 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.
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520
▼a 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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588
▼a Description based on CIP data; resource not viewed.
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▼a Master record variable field(s) change: 050
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▼a Automated vehicles
▼x Computer simulation. -
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▼a Machine learning.
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▼a Neural networks (Computer science)
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▼a Machine learning.
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▼a Neural networks (Computer science)
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▼a Senthamilarasu, S.,
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Applied deep learning and computer vision for self-driving cars : build autonomous vehicles using deep neural networks and behavior-cloning techniques
QR코드| 자료유형 : | eBook |
|---|---|
| ISBN : | 1838647023 |
| ISBN : | 9781838647025 |
| ISBN : | |
| 개인저자 : | Ranjan, Sumit, author. |
| 서명/저자사항 : | Applied deep learning and computer vision for self-driving cars: build autonomous vehicles using deep neural networks and behavior-cloning techniques /: Sumit Ranjan, Dr. S. Senthamilarasu. |
| 발행사항 : | Birmingham: Packt Publishing, 2020. |
| 형태사항 : | 1 online resource. |
| 일반주기 : | 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. |
| 요약 : | 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. |
| 일반주제명 : | Automated vehicles -- Computer simulation. -- |
| 일반주제명 : | Machine learning. -- |
| 일반주제명 : | Neural networks (Computer science) -- |
| 일반주제명 : | Machine learning. -- |
| 일반주제명 : | Neural networks (Computer science) -- |
| 개인저자 : | Senthamilarasu, S., author. |
| 기타형태 저록 : | Print version:, 9781838646301 |
| 언어 | 영어 |
| URL : |
|---|
예약
- 1. 예약현황은 홈페이지 로그인 후 예약 페이지에 확인 가능합니다.
- 2. 도착 통보된 예약자료 대출을 원하지 않는 경우에는 예약 현황에서 취소할 수 있습니다.
- 3. 기타 문의사항은 도서관에 문의 바랍니다.
무인예약대출
- 1. 무인예약대출 현황은 홈페이지 로그인 후 무인예약대출 페이지에 확인 가능합니다.
- 2. 무인예약대출자료 대출을 원하지 않는 경우에는 무인예약대출 페이지에서 신청 또는 접수상태인 경우만 취소할 수 있습니다.
- 3. 희망대출일은 신청일로부터 최대 1주일 까지 가능합니다.
- 4. 희망대출일을 선택하지 않은 경우 대출대기 통보 후 1주일까지 기기에서 대출가능합니다.
- 5. 기타 문의사항은 도서관에 문의 바랍니다.
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