Abstract
Artificial Neural Networks (ANNs) are mathematical models for machine learning, that were inspired by the structure of the central nervous system in animals or humans [56,57]. The human brain is still the most powerful information processing unit for complex tasks like perception, recognition and abstraction. By mimicking the biological structure of neurons and synapses, the hope is to gain a similar capability for understanding information and apply it to solve simple tasks.
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© 2016 Springer Fachmedien Wiesbaden
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Kroiss, M. (2016). Introduction to deep neural networks. In: Predicting the Lineage Choice of Hematopoietic Stem Cells. BestMasters. Springer Spektrum, Wiesbaden. https://doi.org/10.1007/978-3-658-12879-1_2
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DOI: https://doi.org/10.1007/978-3-658-12879-1_2
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