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Python: Real-World Data Science
book

Python: Real-World Data Science

by Dusty Phillips, Fabrizio Romano, Phuong Vo.T.H, Martin Czygan, Robert Layton, Sebastian Raschka
June 2016
Beginner to intermediate content levelBeginner to intermediate
1255 pages
29h 1m
English
Packt Publishing
Content preview from Python: Real-World Data Science

Chapter 11. Classifying Objects in Images Using Deep Learning

We used basic neural networks in Chapter 8, Beating CAPTCHAs with Neural Networks. A recent flood of research in the area has led to a number of significant advances to that base design. Today, research in neural networks is creating some of the most advanced and accurate classification algorithms in many areas.

These advances have come on the back of improvements in computational power, allowing us to train larger and more complex networks. However, the advances are much more than simply throwing more computational power at the problem. New algorithms and layer types have drastically improved performance, outside computational power.

In this chapter, we will look at determining what ...

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Publisher Resources

ISBN: 9781786465160