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OpenCV 3.x with Python By Example - Second Edition

You're reading from OpenCV 3.x with Python By Example - Second Edition

Product type Book

Published in Jan 2018

Publisher Packt

ISBN-13 9781788396905

Pages 268 pages

Edition 2nd Edition

Languages

Concepts

Computer Vision

Authors (2):

Gabriel Garrido Calvo

Prateek Joshi

View More author details

Table of Contents (17) Chapters

Title Page

Copyright and Credits

Contributors

Packt Upsell

Preface

1. Applying Geometric Transformations to Images

2. Detecting Edges and Applying Image Filters

3. Cartoonizing an Image

4. Detecting and Tracking Different Body Parts

5. Extracting Features from an Image

6. Seam Carving

7. Detecting Shapes and Segmenting an Image

8. Object Tracking

9. Object Recognition

10. Augmented Reality

11. Machine Learning by an Artificial Neural Network

1. Other Books You May Enjoy

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Chapter 11. Machine Learning by an Artificial Neural Network

In this chapter, you will learn how to build an ANN and train it to perform image classification and object recognition. ANNs are one of the subsets of Machine Learning, and we will talk particularly about MLP networks, which are the most common type of neural networks on pattern recognition scopes.

By the end of this chapter, we will have cover the following:

The difference between machine learning (ML) and artificial neural network (ANN)
Multi-layer perceptrons (MLP) networks
How to define and implement an MLP network
Evaluate and improve our ANN
How to recognize objects in images using a trained ANN

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Authors (2)

Gabriel Garrido Calvo

Gabriel Garrido is a multifaceted and versatile software engineer with more than 7 years of experience in developing web applications for companies such as Telefonica, Trivago, and Base7Booking. He has a degree in computer science from the University of Granada, Spain. He is passionate about coding, focusing on its quality and spending hours working on personal projects based on technologies such as computer vision, artificial intelligence, and augmented reality. Taking part in hackathons is one of his hobbies. He has won a couple of prizes for implementing beta software for a Google Cardboard hackathon and another for a travel assistant at a TNOOZ hackathon.

See other products by Gabriel Garrido Calvo

Prateek Joshi

Prateek Joshi is the founder of Plutoshift and a published author of 9 books on Artificial Intelligence. He has been featured on Forbes 30 Under 30, NBC, Bloomberg, CNBC, TechCrunch, and The Business Journals. He has been an invited speaker at conferences such as TEDx, Global Big Data Conference, Machine Learning Developers Conference, and Silicon Valley Deep Learning. Apart from Artificial Intelligence, some of the topics that excite him are number theory, cryptography, and quantum computing. His greater goal is to make Artificial Intelligence accessible to everyone so that it can impact billions of people around the world.

See other products by Prateek Joshi

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