January 2018
Intermediate to advanced
470 pages
11h 9m
English
Content preview from Scala Machine Learning Projects
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Autoencoders and unsupervised learning
Autoencoders are artificial neural networks capable of learning efficient representations of the input data without any supervision (that is, the training set is unlabeled). This coding, typically, has a much lower dimensionality than the input data, making autoencoders useful for dimensionality reduction. More importantly, autoencoders act as powerful feature detectors, and they can be used for unsupervised pre-training of deep neural networks.
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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.