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paperback. Condition: New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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paperback. IT'S NEW - WE SHIP DAILY WITH TR.
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paperback. Condition: Like New. Ships in a BOX from Central Missouri! Like Brand NEW. No tears, highlighting or writing because it's never been used! May have minor shelf wear. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Learn OpenCV with Python by Examples: Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and Machine Learning
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Condition: Muy bueno. : Este libro presenta las actas revisadas de la 5Ş Conferencia Internacional sobre Aprendizaje Automático, Procesamiento de Imágenes, Seguridad de Redes y Ciencias de Datos, MIND 2023, celebrada en Hamirpur, India, del 21 al 22 de diciembre de 2023. Los 29 artículos completos incluidos en este libro fueron cuidadosamente revisados y seleccionados de 173 presentaciones. Se organizaron en secciones temáticas de la siguiente manera: Aprendizaje automático; Procesamiento de imágenes; Seguridad de la red; y Ciencias de los datos. EAN: 9783031622168 Tipo: Libros Categoría: Tecnología Título: Machine Learning, Image Processing, Network Security and Data Sciences Autor: Naveen Chauhan| Divakar Yadav| Gyanendra K. Verma| Badal Soni| Jorge Morato Lara Editorial: Springer Idioma: en Páginas: 364 Formato: tapa blanda.
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Paperback. Condition: New. 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. You'll 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. You'll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you'll 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.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Machine Learning for Audio, Image and Video Analysis: Theory and Applications. (=Advanced Information and Knowledge Processing).
Seller: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Germany
Association Member: GIAQ
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Hardcover. Condition: Wie neu. 510 S.; Ill. Like new. Shrink wrapped. Sprache: Englisch Gewicht in Gramm: 1025.
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Machine Learning/Deep Learning in Medical Image Processing
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Machine Learning for OpenCV: Intelligent image processing with Python (Paperback or Softback)
Language: English
Published by Packt Publishing 7/14/2017, 2017
ISBN 10: 1783980281 ISBN 13: 9781783980284
Paperback or Softback. Condition: New. Machine Learning for OpenCV: Intelligent image processing with Python. Book.
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Learn OpenCV with Python by Examples: Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and Machine Learning
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Condition: Como nuevo. : Este libro presenta las actas revisadas de la 5Ş Conferencia Internacional sobre Aprendizaje Automático, Procesamiento de Imágenes, Seguridad de Redes y Ciencias de Datos, MIND 2023, celebrada en Hamirpur, India, del 21 al 22 de diciembre de 2023. Los 29 artículos completos incluidos en este libro fueron cuidadosamente revisados y seleccionados de 173 presentaciones. Se organizaron en secciones temáticas de la siguiente manera: Aprendizaje automático; Procesamiento de imágenes; Seguridad de la red; y Ciencias de los datos. EAN: 9783031622168 Tipo: Libros Categoría: Tecnología Título: Machine Learning, Image Processing, Network Security and Data Sciences Autor: Naveen Chauhan| Divakar Yadav| Gyanendra K. Verma| Badal Soni| Jorge Morato Lara Editorial: Springer Idioma: en Páginas: 364 Formato: tapa blanda.
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Practical Machine Learning and Image Processing
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 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. You'll 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. You'll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you'll 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.
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Condition: As New. Unread book in perfect condition.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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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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Practical Machine Learning and Image Processing : For Facial Recognition, Object Detection, and Pattern Recognition Using Python
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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