January 2018
Intermediate to advanced
268 pages
6h 20m
English
Content preview from OpenCV 3.x with Python By Example - Second Edition
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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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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.