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Books — computer vision

EN
OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition

A

Robert Laganière

AI and ML
EN
Artificial Intelligence for Robotics: Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks

Artificial Intelligence for Robotics: Build intelligent robots using ROS 2, Python, OpenCV, and AI/ML techniques for real-world tasks

A

Francis X. Govers III

AI and ML
EN
Getting Started with Artificial Intelligence: A Practical Guide to Building Enterprise Applications

Getting Started with Artificial Intelligence: A Practical Guide to Building Enterprise Applications

A

Tom Markiewicz, Josh Zheng

AI and ML
EN
Robotics, Vision and Control: Fundamental Algorithms in Python

Robotics, Vision and Control: Fundamental Algorithms in Python

A

Peter Corke

AI and ML
EN
Computer Vision and Augmented Reality in iOS: OpenCV and ARKit Applications

Computer Vision and Augmented Reality in iOS: OpenCV and ARKit Applications

A

Ahmed Fathi Bekhit

Software Development
EN
Deep Learning for Crack-Like Object Detection

Deep Learning for Crack-Like Object Detection

A

Kaige Zhang, Heng-Da Cheng

AI and ML
EN
Computer Vision: Object Detection in Adversarial Vision

Computer Vision: Object Detection in Adversarial Vision

A

Mrinal Kanti Bhowmik

AI and ML
EN
Hands-on Deep Learning: A Guide to Deep Learning with Projects and Applications

Hands-on Deep Learning: A Guide to Deep Learning with Projects and Applications

A

Harsh Bhasin

AI and ML
EN
Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python, Second Edition

Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python, Second Edition

A

Shamshad Ansari

AI and ML
EN
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques

Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques

A

Kumar Abhishek, Dr. Mounir Abdelaziz

AI and ML
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