Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

© Umberto Michelucci 2018

Umberto MichelucciApplied Deep Learninghttps://doi.org/10.1007/978-1-4842-3790-8_9

9. A Research Project

Umberto Michelucci¹ 

(1)

toelt.ai, Dübendorf, Switzerland

 

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, ...