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Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 2.02.
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Paperback. Condition: new. Paperback. This book is a practical guide for anyone curious about machine learning and AI, regardless of programming experience. Whether you're a professional, a business leader, or a student, it provides hands-on examples and expert guidance to learn the fundamentals of machine learning and AI. Discover how to implement data science solutions using no-code tools, explore the machine learning development lifecycle, and leverage the Momentum platform for effective data engineering and AI applications.What You Will Learn: Key concepts in machine learning and AIPractical applications across various industriesUtilizing Momentum to build end-to-end AI solutionsUnlock the potential of AI without coding, and start shaping the future today! Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Building Computer Vision Appli
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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From Concept to Creation
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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US$ 53.91
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Condition: New.
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From Concept to Creation: Building Data Science and AI Solutions Without Coding: A Practical Guide for Non-Programmers, Subject Matter Experts, Engineers, Students, and Analysts
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 42.90
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Paperback. Condition: New. Second Edition. Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition's publication. All code used in the book has also been fully updated.This second edition features new material covering image manipulation practices, image segmentation, feature extraction, and object identification using real-life scenarios to help reinforce each concept. These topics are essential for building advanced computer vision applications, and you'll gain a thorough understanding of them. The book's source code has been updated from TensorFlow 1.x to 2.x, and includes step-by-step examples using both OpenCV and TensorFlow with Python. Upon completing this book, you'll have the knowledge and skills to build your own computer vision applications using neural networks What You Will LearnUnderstand image processing, manipulation techniques, and feature extractionmethodsWork with convolutional neural networks (CNN), single-shot detector (SSD), and YOLOUtilize large scale model development and cloud infrastructure deploymentGain an overview of FaceNet neural network architecture and develop a facial recognition systemWho This Book Is ForThose who possess a solid understanding of Python programming and wish to gain an understanding of computer vision and machine learning. It will prove beneficial to data scientists, deep learning experts, and students.
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Paperback or Softback. Condition: New. Building Computer Vision Applications Using Artificial Neural Networks: With Examples in Opencv and Tensorflow with Python. Book.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Building Computer Vision Applications Using Artificial Neural Networks
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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US$ 68.01
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Building Computer Vision Applications Using Artificial Neural Networks
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Building Computer Vision Applications Using Artificial Neural Networks
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Building Computer Vision Applications Using Artificial Neural Networks
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Add to basketPaperback. Condition: New. Second Edition. Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition's publication. All code used in the book has also been fully updated.This second edition features new material covering image manipulation practices, image segmentation, feature extraction, and object identification using real-life scenarios to help reinforce each concept. These topics are essential for building advanced computer vision applications, and you'll gain a thorough understanding of them. The book's source code has been updated from TensorFlow 1.x to 2.x, and includes step-by-step examples using both OpenCV and TensorFlow with Python. Upon completing this book, you'll have the knowledge and skills to build your own computer vision applications using neural networks What You Will LearnUnderstand image processing, manipulation techniques, and feature extractionmethodsWork with convolutional neural networks (CNN), single-shot detector (SSD), and YOLOUtilize large scale model development and cloud infrastructure deploymentGain an overview of FaceNet neural network architecture and develop a facial recognition systemWho This Book Is ForThose who possess a solid understanding of Python programming and wish to gain an understanding of computer vision and machine learning. It will prove beneficial to data scientists, deep learning experts, and students.
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Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 71.79
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Condition: New. pp. 548.
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US$ 47.37
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Add to basketPaperback. Condition: new. Paperback. This book is a practical guide for anyone curious about machine learning and AI, regardless of programming experience. Whether you're a professional, a business leader, or a student, it provides hands-on examples and expert guidance to learn the fundamentals of machine learning and AI. Discover how to implement data science solutions using no-code tools, explore the machine learning development lifecycle, and leverage the Momentum platform for effective data engineering and AI applications.What You Will Learn: Key concepts in machine learning and AIPractical applications across various industriesUtilizing Momentum to build end-to-end AI solutionsUnlock the potential of AI without coding, and start shaping the future today! Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Building Computer Vision Applications Us
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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US$ 86.52
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Add to basketCondition: New. 2023. 2nd Edition. paperback. . . . . .
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US$ 80.28
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Add to basketPaperback. Condition: Brand New. 2nd edition. 548 pages. 10.01x7.01x1.11 inches. In Stock.
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Condition: New. 2023. 2nd Edition. paperback. . . . . . Books ship from the US and Ireland.
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US$ 61.63
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Paperback. Condition: New. Second Edition. Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition's publication. All code used in the book has also been fully updated.This second edition features new material covering image manipulation practices, image segmentation, feature extraction, and object identification using real-life scenarios to help reinforce each concept. These topics are essential for building advanced computer vision applications, and you'll gain a thorough understanding of them. The book's source code has been updated from TensorFlow 1.x to 2.x, and includes step-by-step examples using both OpenCV and TensorFlow with Python. Upon completing this book, you'll have the knowledge and skills to build your own computer vision applications using neural networks What You Will LearnUnderstand image processing, manipulation techniques, and feature extractionmethodsWork with convolutional neural networks (CNN), single-shot detector (SSD), and YOLOUtilize large scale model development and cloud infrastructure deploymentGain an overview of FaceNet neural network architecture and develop a facial recognition systemWho This Book Is ForThose who possess a solid understanding of Python programming and wish to gain an understanding of computer vision and machine learning. It will prove beneficial to data scientists, deep learning experts, and students.
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US$ 94.33
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Add to basketPaperback. Condition: Brand New. 451 pages. 9.50x6.75x1.00 inches. In Stock.
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Building Computer Vision Applications Using Artificial Neural Networks
Published by Springer, Berlin|Apress, 2024
ISBN 10: 1484298659 ISBN 13: 9781484298657
Language: English
US$ 80.65
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Add to basketCondition: New. Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition s publication. All code used in the book has also been fully updated.This second edition features n.
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US$ 50.92
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Building Computer Vision Applications Using Artificial Neural Networks
Published by Apress, Apress Nov 2023, 2023
ISBN 10: 1484298659 ISBN 13: 9781484298657
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
First Edition
US$ 76.71
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Add to basketTaschenbuch. Condition: Neu. Neuware -Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition¿s publication. All code used in the book has also been fully updated.This second edition features new material covering image manipulation practices, image segmentation, feature extraction, and object identification using real-life scenarios to help reinforce each concept. These topics are essential for building advanced computer vision applications, and yoüll gain a thorough understanding of them. The book¿s source code has been updated from TensorFlow 1.x to 2.x, and includes step-by-step examples using both OpenCV and TensorFlow with Python.Upon completing this book, yoüll have the knowledge and skills to build your own computer vision applications using neural networksWhat You Will LearnUnderstand image processing, manipulation techniques, and feature extractionmethodsWork with convolutional neural networks (CNN), single-shot detector (SSD), and YOLOUtilize large scale model development and cloud infrastructure deploymentGain an overview of FaceNet neural network architecture and develop a facial recognition systemWho This Book Is ForThose who possess a solid understanding of Python programming and wish to gain an understanding of computer vision and machine learning. It will prove beneficial to data scientists, deep learning experts, and students.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 548 pp. Englisch.
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US$ 116.97
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Add to basketPaperback. Condition: Brand New. 451 pages. 9.50x6.75x1.00 inches. In Stock.
