Efficient hardware implementation of threshold neural networks

Area and Noise to Signal Ratio (NSR) are two main factors in hardware implementation of neural networks. Despite attempts to reduce the area of sigmoid and hyperbolic tangent activation functions, they cannot achieve the efficiency of threshold activation function. A new NSR efficient architecture f...

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Bibliographische Detailangaben

Hauptverfasser:	Zamanlooy, B., Mirhassani, M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Hardware Machine learning Mathematical model Neural networks Registers Signal processing algorithms Stochastic processes
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