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Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs

Book Specification

Binding Paperback
Language English
Number Of Pages 151
Author Sunila Gollapudi
Publisher Apress
Isbn-10 1484242602
Isbn-13 9781484242605
Dimension 15.49*0.99*23.5

Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs

Sunila Gollapudi's Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs

Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples. The author starts with an introduction to computer vision followed by setting up OpenCV from scratch using Python. The next section discusses specialized image processing and segmentation and how images are stored and processed by a computer. This involves pattern recognition and image tagging using the OpenCV library. Next, you’ll work with object detection, video Storage and interpretation, and human detection using OpenCV. Tracking and motion is also discussed in detail. The book also discusses creating complex deep learning models with CNN and RNN. The author finally concludes with recent applications and trends in computer vision.After reading this book, you will be able to understand and implement computer vision and its applications with OpenCV using Python. You will also be able to create deep learning models with CNN and RNN and understand how these cutting-edge deep learning architectures work.What You Will LearnUnderstand what computer vision is, and its overall application in intelligent automation systemsDiscover the deep learning techniques required to build computer vision applicationsBuild complex computer vision applications using the latest techniques in OpenCV, Python, and NumPyCreate practical applications and implementations such as face detection and recognition, handwriting recognition, object detection, and tracking and motion analysisWho This Book Is ForThose who have a Basic understanding of machine learning and Python and are looking to learn computer vision and its applications. 
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Amazon, Paperback Rs. 1949.0

Why you should read Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs by Sunila Gollapudi

This book has been written by Sunila Gollapudi, who has written books like Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs. The books are written in Computer Science category. This book is read by people who are interested in reading books in category : Computer Science. So, if you want to explore books similar to This book, you must read and buy this book.

How long would it take for you to read Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs

Depending on your reading style, this is how much time you would take to complete reading this book.

Reading Style Time To Finish The Book
Slow 30 hours
Average 15 hours
Good 10 hours
Excellent 5 hours
So if you are a Reader belonging in the Good category, and you read it daily for 1 hour, it will take you 10 days.
Note: A slow reader usually reads 100 words per minute, an average reader 200 words per minute, an average reader 300 words per minute and an excellent leader reads about 600-1000 words per minute, however the comprehension may vary.

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