August 2019
Intermediate to advanced
242 pages
5h 45m
English
Content preview from Hands-On Deep Learning with Go
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Building an RBM for Netflix-style collaborative filtering
We will now explore a different kind of unsupervised learning technique that, in our example, is capable of working with data that reflects a given group of users' preferences for particular pieces of content. This section will introduce new concepts around network architecture and probability distributions, as well as how they can be used in practical implementations of recommendation systems, specifically for recommending films that a given user may find interesting.
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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.
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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.