March 2019
Intermediate to advanced
538 pages
13h 38m
English
book
Building Computer Vision Projects with OpenCV 4 and C++
by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
Content preview from Building Computer Vision Projects with OpenCV 4 and C++
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Character classification using a convolutional neural network
Before we start to work with a convolutional neural network and deep learning, we are going to introduce these topics and the tools to create our DNN.
Deep learning is part of the machine learning family and can be supervised, semi-supervised, or unsupervised. DNNs are not a new concept in the scientific community. The term was introduced into the machine learning community in 1986 by Rina Dechter, and into artificial neural networks by Igor Aizenberg in the year 2000. But research in this area was started in the early 1980, where studies such as neocognitron were the inspiration for convolutional neural networks.
But it wasn't before 2009 that deep learning started its revolution. ...
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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.