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9781484266151 - Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras: Neural Network Architectures With Python, Keras, and Tensorflow di Verdhan,... (22 risultati)
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Edizione InternazionaleComputer Vision Using Deep Learning: Neural Network Architectures with Python and Keras
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Condizione: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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Computer Vision Using Deep Learning : Neural Network Architectures With Python, Keras, and Tensorflow
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Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras
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Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras (Paperback or Softback)
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Paperback or Softback. Condizione: New. Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras. Book.
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Computer Vision Using Deep Learning : Neural Network Architectures With Python, Keras, and Tensorflow
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Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras
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Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras
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Computer Vision Using Deep Learning : Neural Network Architectures With Python, Keras, and Tensorflow
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Computer Vision Using Deep Learning : Neural Network Architectures With Python, Keras, and Tensorflow
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Computer Vision Using Deep Learning: Neural Network Architectures With Python, Keras, and Tensorflow
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Aggiungi al carrelloPaperback. Condizione: Brand New. 308 pages. 9.00x6.00x0.75 inches. In Stock.
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Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras
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Computer Vision Using Deep Learning : Neural Network Architectures with Python and Keras
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Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras
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Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras
Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. 1st ed. edition NO-PA16APR2015-KAP.
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Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras
Da: Majestic Books, Hounslow, Regno Unito
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Computer Vision Using Deep Learning | Neural Network Architectures with Python and Keras | Vaibhav Verdhan | Taschenbuch | xxi | Englisch | 2021 | Apress | EAN 9781484266151 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloCondizione: Hervorragend. Zustand: Hervorragend | Seiten: 308 | Sprache: Englisch | Produktart: Bücher | Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. This book will bring into focus these and other deep learning architectures and techniques to help you create solutions using Keras and the TensorFlow library. You'll also review mutliple neural network architectures, including LeNet, AlexNet, VGG, Inception, R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN, YOLO, and SqueezeNet and see how they work alongside Python code via best practices, tips, tricks, shortcuts, and pitfalls. All code snippets will be broken down and discussed thoroughly so you can implement the same principles in your respective environments.Computer Vision Using Deep Learning offers a comprehensive yet succinct guide that stitches DL and CV together to automate operations, reduce human intervention, increase capability, and cut the costs. What You'll LearnExamine deep learning code and concepts to apply guiding principals to your own projectsClassify and evaluate various architectures to better understand your options in various use casesGo behind the scenes of basic deep learning functions to find out how they workWho This Book Is ForProfessional practitioners working in the fields of software engineering and data science. A working knowledge of Python is strongly recommended. Students and innovators working on advanced degrees in areas related to computer vision and Deep Learning.
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Computer Vision Using Deep Learning (eng)
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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EUR 46,56
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Computer Vision Using Deep Learning
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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EUR 58,84
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems.This book will bring into focus these and other deep learning architectures and techniques to help you create solutions using Keras and the TensorFlow library. You'll also review mutliple neural network architectures, including LeNet, AlexNet, VGG, Inception, R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN, YOLO, and SqueezeNet and see how they work alongside Python code via best practices, tips, tricks, shortcuts, and pitfalls.All code snippets will be broken down and discussed thoroughly so you can implement the same principles in your respective environments.Computer Vision Using Deep Learning offers a comprehensive yet succinct guide that stitches DL and CV together to automate operations, reduce human intervention, increase capability, and cut the costs.What You'll LearnExamine deep learning code and concepts to apply guiding principals to your own projectsClassify and evaluate various architectures to better understand your options in various use casesGo behind the scenes of basic deep learning functions to find out how they workWho This Book Is ForProfessional practitioners working in the fields of software engineering and data science. A working knowledge of Python is strongly recommended. Students and innovators working on advanced degrees in areas related to computer vision and Deep Learning. 308 pp. Englisch.
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Computer Vision Using Deep Learning: Neural Network Architectures with Python and Keras
Da: Biblios, Frankfurt am main, HESSE, Germania
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EUR 83,09
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Computer Vision Using Deep Learning: Neural Network Architectures with Python, Keras, and Tensorflow
EUR 53,17
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Implement Deep Learning solutions on your own systems to bridge the gap between theory and practiceExamine the inner workings of the codes and libraries that make Deep Learning applications workCreate solutions for co.
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EUR 65,42
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems.This book will bring into focus these and other deep learning architectures and techniques to help you create solutions using Keras and the TensorFlow library. You'll also review mutliple neural network architectures, including LeNet, AlexNet, VGG, Inception, R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN, YOLO, and SqueezeNet and see how they work alongside Python code via best practices, tips, tricks, shortcuts, and pitfalls.All code snippets will be broken down and discussed thoroughly so you can implement the same principles in your respective environments.Computer Vision Using Deep Learning offers a comprehensive yet succinct guide that stitches DL and CV together to automate operations, reduce human intervention, increase capability, and cut the costs.What You'll LearnExamine deep learning code and concepts to apply guiding principals to your own projectsClassify and evaluate various architectures to better understand your options in various use casesGo behind the scenes of basic deep learning functions to find out how they workWho This Book Is ForProfessional practitioners working in the fields of software engineering and data science. A working knowledge of Python is strongly recommended. Students and innovators working on advanced degrees in areas related to computer vision and Deep Learning.
