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Python Deep Learning - Second Edition
book

Python Deep Learning - Second Edition

by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
January 2019
Intermediate to advanced
386 pages
11h 13m
English
Packt Publishing
Content preview from Python Deep Learning - Second Edition

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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Publisher Resources

ISBN: 9781789348460Supplemental Content