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ISBN 10: 9354643604 ISBN 13: 9789354643606
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ISBN 10: 9354643604 ISBN 13: 9789354643606
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Paperback. Condition: new. Paperback. Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. Youll see the OpenCV algorithms and how to use them for image processing. The next section looks at advanced machine learning and deep learning methods for image processing and classification. Youll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later youll explore how models are made in real time and then deployed using various DevOps tools. All the conceptsin Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application.What You Will LearnDiscover image-processing algorithms and their applications using PythonExplore image processing using the OpenCV libraryUse TensorFlow, scikit-learn, NumPy, and other librariesWork with machine learning and deep learning algorithms for image processingApply image-processing techniques to five real-time projectsWho This Book Is ForData scientists and software developers interested in image processing and computer vision. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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ISBN 10: 9354643604 ISBN 13: 9789354643606
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Published by Apress, Incorporated, 2019
ISBN 10: 1484241487 ISBN 13: 9781484241486
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First Edition
Paperback. Condition: new. Paperback. Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. Youll see the OpenCV algorithms and how to use them for image processing. The next section looks at advanced machine learning and deep learning methods for image processing and classification. Youll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later youll explore how models are made in real time and then deployed using various DevOps tools. All the conceptsin Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application.What You Will LearnDiscover image-processing algorithms and their applications using PythonExplore image processing using the OpenCV libraryUse TensorFlow, scikit-learn, NumPy, and other librariesWork with machine learning and deep learning algorithms for image processingApply image-processing techniques to five real-time projectsWho This Book Is ForData scientists and software developers interested in image processing and computer vision. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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First Edition
Condition: New. 2019. First Edition. paperback. . . . . .
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Published by Apress, Apress Feb 2019, 2019
ISBN 10: 1484241487 ISBN 13: 9781484241486
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Taschenbuch. Condition: Neu. Neuware -Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. Yoüll see the OpenCV algorithms and how to use them for image processing.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 188 pp. Englisch.
Language: English
Published by China Water Conservancy and Hydropower Press, 2022
ISBN 10: 7517099361 ISBN 13: 9787517099369
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paperback. Condition: New. Language:Chinese.Paperback.Pub Date:2022-06-01 Pages:448 Publisher:China Water Resources and Hydropower Press Machine Learning Deep Learning Image Recognition from Basics to Case Practice introduces the field of artificial intelligence with a large number of graphics and images combined with Python code Knowledge about image recognition. The book consists of 3 parts. of which the first part introduces the basic knowledge and the use of related tools such as Python. Jupyter Nobebook and NumPy.