April 2018
Beginner to intermediate
282 pages
6h 52m
English
Content preview from Hands-On Automated Machine Learning
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Summary
In this chapter, we introduced you to the world of neural networks and deep learning. We discussed different activation functions, the structure of a neural network, and demonstrated a feed-forward neural network using Keras.
Deep learning is a topic in itself, and there are several deep learning books with an in-depth focus. The objective of this chapter was to provide you with a head start in exploring deep learning, as it is the next frontier in machine learning automation. We witnessed the power of autoencoders for dimensionality reduction. Also, the CNNs, with their robust feature-processing mechanism, are an essential component for building the automated systems of the future.
We will end our discussion in the next chapter, ...
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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.