December 2018
Intermediate to advanced
182 pages
4h 21m
English
Content preview from Computer Vision Projects with OpenCV and Python 3
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An introduction to TensorFlow
In this chapter, we'll go deeper into TensorFlow and see how we can build a general-purpose image classifier using its deep learning method.
This will be an extension of what we learned in Chapter 2, Handwritten Digit Recognition with scikit-learn and TensorFlow, where we learned how to classify handwritten digits. However, this method is quite a bit more powerful, as it will work on general images of people, animals, food, everyday objects, and so on.
To start, let's talk a little bit about what TensorFlow does, and the general workflow of TensorFlow.
To begin, what is a tensor? Wikipedia states this:
"In mathematics, tensors are geometric objects that describe linear relations between geometric vectors, scalars, ...
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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.