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Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python (English Edition) - Softcover
- PublisherOrange Education Pvt Ltd
- Publication date2023
- ISBN 10 9388590872
- ISBN 13 9789388590877
- BindingPaperback
- LanguageEnglish
- Number of pages336
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Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python (English Edition)
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Orange Education Pvt Ltd, 2023
ISBN 10: 9388590872
ISBN 13: 9789388590877
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Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python (English Edition)
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Orange Education Pvt Ltd, 2023
ISBN 10: 9388590872
ISBN 13: 9789388590877
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Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python (Paperback or Softback)
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ISBN 13: 9789388590877
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Hands-On Ml Projects with OpenCV
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Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python (English Edition)
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Orange Education Pvt Ltd, 2023
ISBN 10: 9388590872
ISBN 13: 9789388590877
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Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python (English Edition)
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Orange Education Pvt Ltd, 2023
ISBN 10: 9388590872
ISBN 13: 9789388590877
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Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python (English Edition)
Published by
Orange Education Pvt Ltd, 2023
ISBN 10: 9388590872
ISBN 13: 9789388590877
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Hands-on ML Projects with OpenCV : Master computer vision and Machine Learning using OpenCV and Python
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Orange Education Pvt Ltd, 2023
ISBN 10: 9388590872
ISBN 13: 9789388590877
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - DESCRIPTIONThis book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets.Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It's an ultimate guide to explore areas like deep learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models.¿TABLE OF CONTENTSChapter 1: Getting Started With OpenCVChapter 2: Basic Image & Video Analytics in OpenCVChapter 3: Image Processing 1 using OpenCVChapter 4: Image Processing 2 using OpenCVChapter 5: Thresholding and Contour Techniques Using OpenCVChapter 6: Detect Corners and Road Lane using OpenCVChapter 7: Object And Motion Detection Using OpencvChapter 8: Image Segmentation and Detecting Faces Using OpenCVChapter 9: Introduction to Deep Learning with OpenCVChapter 10: Advance Deep Learning Projects with OpenCVChapter 11: Deployment of OpenCV projectsBy the end, you would have mastered and applied ML concepts confidently to real-world computer vision problems and will be able to develop robust and accurate machine-learning models for diverse applications.Whether you are new to machine learning or seeking to enhance your computer vision skills, This book is an invaluable resource for mastering the integration of machine learning and computer vision using OpenCV and Python. Seller Inventory # 9789388590877
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