Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.01 vteřin. 
Fault tolerant Field Programmable Neural Networks
Krčma, Martin ; Kordík, Pavel (oponent) ; Stopjaková, Viera (oponent) ; Drábek, Vladimír (vedoucí práce)
This thesis focuses on the Field Programmable Neural Networks concept intended to make implementation of neural networks in FPGAs less resource demanding. The thesis introduces and discusses several types of Field Programmable Neural Networks which provide different trad-offs between the resource consumption and the accuracy of the implemented neural network approximation. This thesis also introduces and discusses methods of hardening the Field Programmable Neural Networks against faults with and without redundancy.
Fault tolerant Field Programmable Neural Networks
Krčma, Martin ; Kordík, Pavel (oponent) ; Stopjaková, Viera (oponent) ; Drábek, Vladimír (vedoucí práce)
This thesis focuses on the Field Programmable Neural Networks concept intended to make implementation of neural networks in FPGAs less resource demanding. The thesis introduces and discusses several types of Field Programmable Neural Networks which provide different trad-offs between the resource consumption and the accuracy of the implemented neural network approximation. This thesis also introduces and discusses methods of hardening the Field Programmable Neural Networks against faults with and without redundancy.

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