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Deep learning architectures: a mathematical approach
This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at...
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| Lenguaje: | eng |
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Springer
2020
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-36721-3 http://cds.cern.ch/record/2713881 |