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Autoencoders, Restricted Boltzmann Machines, and Deep Belief Networks

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Book cover Introduction to Deep Learning Using R

Abstract

This chapter covers some of the newer and more advanced deep learning models that have been gaining popularity in the field. It is intended to help you understand some of the recent developments in the field of data science. To see how these models are applied in a practical context, see Chapters 10 and 11, where we will be utilizing these in practical examples.

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© 2017 Taweh Beysolow II

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Beysolow II, T. (2017). Autoencoders, Restricted Boltzmann Machines, and Deep Belief Networks. In: Introduction to Deep Learning Using R. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-2734-3_7

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