Abstract
Typically, when talking about deep learning, people think about image recognition, speech recognition, image detection, and so on. These are the most well-known applications, but the possibilities of deep neural networks are endless. In this chapter, I will show you how deep neural networks can be successfully applied to a less conventional problem: the extraction of a parameter in sensing applications. For this specific problem, we will develop the algorithms for a sensor, which I will describe later, to determine the oxygen concentration in a medium, for example, a gas.
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© 2018 Umberto Michelucci
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Michelucci, U. (2018). A Research Project. In: Applied Deep Learning. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3790-8_9
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DOI: https://doi.org/10.1007/978-1-4842-3790-8_9
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-3789-2
Online ISBN: 978-1-4842-3790-8
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