S., Mugesh
Hands-on ML Projects with OpenCV: Master computer vision and Machine Learning using OpenCV and Python
- ISBN 13:
- 9789388590877
- author:
- S., Mugesh
- format:
- Paperback
- publisher:
- Orange Education Pvt Ltd
- language:
- English
- Publication Year:
- 2023
- Pages:
- 338
- Dimensions:
- 23.5 x 19.1 x 1.8 centimetres (0
- Genre:
- Computers, Computer Science, Neural Networks,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Build Intelligent Systems with Computer Vision and Machine Learning This comprehensive guide merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. You'll learn how to work with images, perform basic image processing tasks, and tackle complex computer vision problems. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. Practical tips and best practices are also provided to help you build effective ML models. By the end of this book, you'll have mastered and applied ML concepts confidently to real-world computer vision problems, enabling you to develop robust and accurate machine-learning models for diverse applications.
Related Products
Related Products
Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library
Bradski, Gary R.
Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects
Vaishya, Ayush
Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition
Howse, Joseph
OpenCV 4 Computer Vision Application Programming Cookbook: Build complex computer vision applications with OpenCV and C++, 4th Edition
Escrivà, David Millàn
Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
Saito, Sean