Edité par Orange Education Pvt Ltd, 2023
ISBN 10 : 9388590872 ISBN 13 : 9789388590877
Langue: anglais
Vendeur : Studibuch, Stuttgart, Allemagne
EUR 12,40
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierpaperback. Etat : Gut. Seiten; 9789388590877.3 Gewicht in Gramm: 1.
Edité par Orange Education Pvt Ltd, 2023
ISBN 10 : 9388590872 ISBN 13 : 9789388590877
Langue: anglais
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 37,04
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Ajouter au panierEtat : New. In.
Edité par Orange Education Pvt Ltd, 2023
ISBN 10 : 9388590872 ISBN 13 : 9789388590877
Langue: anglais
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 37,21
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Edité par Orange Education Pvt Ltd 8/10/2023, 2023
ISBN 10 : 9388590872 ISBN 13 : 9789388590877
Langue: anglais
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
EUR 37,59
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierPaperback or Softback. Etat : New. Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python 1.28. Book.
Edité par Orange Education Pvt Ltd, 2023
ISBN 10 : 9388590872 ISBN 13 : 9789388590877
Langue: anglais
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 27,15
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand pp. 336.
Edité par Orange Education Pvt Ltd, 2023
ISBN 10 : 9388590872 ISBN 13 : 9789388590877
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 52,38
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierTaschenbuch. Etat : 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.