Abstract
Of course, any artificial neural network structure has been inspired by the inner workings of the human brain, but some have been even more so, in the sense that not only how neurons single and clusters of neurons function is important, but also how cortices (e.g. the visual cortex) processes real-world data and which different types of cells are used and why. In the later chapters data representation will be discussed in some more detail, and we will see that how data is presented to a machine learning algorithm is at least as important as the algorithm itself.
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© 2017 Springer Fachmedien Wiesbaden GmbH
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Neukart, F. (2017). Advanced artificial perception and pattern recognition. In: Reverse Engineering the Mind. AutoUni – Schriftenreihe, vol 94. Springer, Wiesbaden. https://doi.org/10.1007/978-3-658-16176-7_4
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DOI: https://doi.org/10.1007/978-3-658-16176-7_4
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