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Introduction to deep neural networks

  • Manuel Kroiss
Chapter
Part of the BestMasters book series (BEST)

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.

Keywords

Hide Layer Loss Function Spectral Radius Recurrent Neural Network Hide Unit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Fachmedien Wiesbaden 2016

Authors and Affiliations

  • Manuel Kroiss
    • 1
  1. 1.NeuherbergDeutschland

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