Apress, 2020. — 467 p. — ISBN13: (electronic): 978-1-4842-5887-3. Apply computer vision and machine learning concepts in developing business and industrial applications ?using a practical, step-by-step approach. The book comprises four main sections starting with setting up your programming environment and configuring your computer with all the prerequisites to run the code...
2nd Edition. — Apress Media LLC., 2023. — 541 p. — ISBN-13: 978-1-4842-9866-4. 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,...
Apress, 2019. — 421 p. — ISBN13: 978-1-4842-4166-0. Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will analyze an image dataset. Along the...
Independently published, 2024. — 117 р. "Python for Computer Vision" is a comprehensive guide that equips you with the knowledge and skills needed to excel in the field of computer vision. This book takes you on a journey through the essential concepts of image processing, object detection, and machine learning, all using the power and versatility of Python. Whether you're a...
Packt Publishing, 2018. — 310 p. — ISBN: 1788295625. Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks. Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous...
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