| 000 | camKi | |
| 001 | 2210080898645 | |
| 003 | OCoLC | |
| 005 | 20210225115150 | |
| 006 | m d | |
| 007 | cr ||||||||||| | |
| 008 | 200822s2020 enk o 000 0 eng d | |
| 015 | ▼aGBC0C6725▼2bnb | |
| 016 | ▼a019899883▼2Uk | |
| 019 | ▼a1195821757 | |
| 020 | ▼a1838647023 | |
| 020 | ▼a9781838647025▼q(electronic bk.) | |
| 020 | ▼z9781838646301 (pbk.) | |
| 035 | ▼a2581636▼b(N▼T) | |
| 035 | ▼a(OCoLC)1197737095▼z(OCoLC)1195821757 | |
| 037 | ▼a9781838647025▼bPackt Publishing | |
| 040 | ▼aUKMGB▼beng▼erda▼epn▼cUKMGB▼dEBLCP▼dOCLCO▼dN▼dOCLCF▼dN▼d221008 | |
| 050 | ▼aTL152.8 | |
| 082 | ▼a629.0460285631▼223 | |
| 100 | ▼aRanjan, Sumit,▼eauthor. | |
| 245 | 00 | ▼aApplied deep learning and computer vision for self-driving cars :▼bbuild autonomous vehicles using deep neural networks and behavior-cloning techniques /▼cSumit Ranjan, Dr. S. Senthamilarasu. |
| 260 | ▼aBirmingham :▼bPackt Publishing,▼c2020. | |
| 300 | ▼a1 online resource | |
| 336 | ▼atext▼2rdacontent | |
| 337 | ▼acomputer▼2rdamedia | |
| 338 | ▼aonline resource▼2rdacarrier | |
| 500 | 00 | ▼aTable 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. |
| 520 | ▼aThis 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. | |
| 588 | ▼aDescription based on CIP data; resource not viewed. | |
| 590 | ▼aMaster record variable field(s) change: 050 | |
| 650 | ▼aAutomated vehicles▼xComputer simulation. | |
| 650 | ▼aMachine learning. | |
| 650 | ▼aNeural networks (Computer science) | |
| 650 | ▼aMachine learning.▼2fast▼0(OCoLC)fst01004795 | |
| 650 | ▼aNeural networks (Computer science)▼2fast▼0(OCoLC)fst01036260 | |
| 655 | ▼aElectronic books. | |
| 700 | 1 | ▼aSenthamilarasu, S.,▼eauthor. |
| 776 | ▼iPrint version:▼z9781838646301 | |
| 856 | ▼3EBSCOhost▼uhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2581636 | |
| 938 | ▼aProQuest Ebook Central▼bEBLB▼nEBL6315989 | |
| 938 | ▼aAskews and Holts Library Services▼bASKH▼nAH37647168 | |
| 938 | ▼aEBSCOhost▼bEBSC▼n2581636 | |
| 994 | ▼a92▼bN |
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
종류
전자책
서명
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
저자명
Senthamilarasu S. author
발행사항
Birmingham : Packt Publishing 2020.
형태사항
1 online resource
주기사항
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. / 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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