January 2019
Intermediate to advanced
386 pages
11h 13m
English
book
Python Deep Learning - Second Edition
by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
Content preview from Python Deep Learning - Second Edition
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Advanced Computer Vision
In the Chapter 4, Computer Vision with Convolutional Networks, we introduced convolutional networks for computer vision. In this chapter, we'll continue with more of the same, but at a more advanced level. Our modus operandi so far has been to provide simple examples as a support to the theoretical knowledge of neural networks. We can now elevate our knowledge to the point where we'll be able to successfully solve real-world computer vision tasks with Convolutional Neural Networks (CNNs).
This chapter will cover the following topics:
- Transfer learning
- Advanced network architectures
- Capsule networks
- Object detection
- Semantic segmentation
- Artistic style transfer
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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.