Abstract
Now that I’ve sufficiently covered how to use and apply machine learning concepts, we should finally dive into applying and coding deep learning models using R. This can seem like a daunting task, but don’t be intimidated. If you have been able to code everything successfully in this book, it’s just a matter of adjusting to new packages. We will discuss a variety of deep learning examples, but will begin by dealing with simpler models and then eventually going on to more complex models. The purpose of these exercises is twofold:
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© 2017 Taweh Beysolow II
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Beysolow II, T. (2017). Deep Learning and Other Example Problems. In: Introduction to Deep Learning Using R. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-2734-3_11
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DOI: https://doi.org/10.1007/978-1-4842-2734-3_11
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Publisher Name: Apress, Berkeley, CA
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Online ISBN: 978-1-4842-2734-3
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