September 2018
Intermediate to advanced
288 pages
7h 38m
English
book
Keras Reinforcement Learning Projects
by Giuseppe Ciaburro, Sudharsan Ravichandiran, Suriyadeepan Ramamoorthy
Content preview from Keras Reinforcement Learning Projects
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Unsupervised learning
The aim of unsupervised learning is to automatically extract information from databases. This process occurs without a priori knowledge of the contents to be analyzed. Unlike supervised learning, there is no information on the membership classes of examples, or more generally on the output corresponding to a certain input. The goal is to get a model that is able to discover interesting properties: groups with similar characteristics (clustering), for instance. Search engines are an example of an application of these algorithms. Given one or more keywords, they are able to create a list of links related to our search.
The validity of these algorithms depends on the usefulness of the information they can extract from the ...
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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.