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Published by Packt Publishing 7/14/2017, 2017
ISBN 10: 1783980281 ISBN 13: 9781783980284
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Paperback or Softback. Condition: New. Machine Learning for OpenCV: Intelligent image processing with Python. Book.
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Published by Springer, 2007
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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 multiple locations in the US or from the UK, depending on stock availability.
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Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 036749373X ISBN 13: 9780367493738
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Published by Chapman and Hall/CRC, 2022
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Published by Chapman and Hall/CRC, 2022
ISBN 10: 036749373X ISBN 13: 9780367493738
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Published by Taylor & Francis Group, 2022
ISBN 10: 036749373X ISBN 13: 9780367493738
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