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Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python
book

Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python

by Shamshad Ansari
July 2020
Intermediate to advanced
467 pages
9h 44m
English
Apress
Content preview from Building Computer Vision Applications Using Artificial Neural Networks: With Step-by-Step Examples in OpenCV and TensorFlow with Python
© Shamshad Ansari 2020
S. AnsariBuilding Computer Vision Applications Using Artificial Neural Networkshttps://doi.org/10.1007/978-1-4842-5887-3_1

1. Prerequisites and Software Installation

Shamshad Ansari1 
(1)
Centreville, VA, USA
 

This is a hands-on book that describes how to develop computer vision applications in the Python programming language. In this book, you will learn how to work with OpenCV to manipulate images and build machine learning models using TensorFlow.

OpenCV, originally developed by Intel and written in C++, is an open source computer vision and machine learning library consisting of more than 2,500 optimized algorithms for working with images and videos. TensorFlow is an open source framework for high-performance numerical computation ...

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Publisher Resources

ISBN: 9781484258873Purchase LinkPublisher Website