August 2019
Intermediate to advanced
242 pages
5h 45m
English
Content preview from Hands-On Deep Learning with Go
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Object Recognition with Convolutional Neural Networks
Now it's time to get to some computer vision or image classification problems that are a little more general than our earlier MNIST handwriting example. A lot of the same principles apply, but we will be using some new types of operations to build Convolutional Neural Networks (CNNs).
This chapter will cover the following topics:
- Introduction to CNNs
- Building an example CNN
- Assessing the results and making improvements
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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.