20.500.12556/RUL-131088 Implementacija nevronske mreže v vezju SoC FPGA Neural network implementation in a SoC FPGA circuit V magistrskem delu smo implementirali nevronsko mrežo, sposobno uče\-nja z algoritmom vzvratnega razširjanja napake v programirljivem vezju FPGA. Delovanje nevronske mreže smo testirali na razvojni ploščici Zybo podjetja Digilent. Uporabljena razvojna ploščica vsebuje integrirano vezje Zynq-7000, ki poleg FPGA-dela vsebuje tudi procesor, ki smo ga uporabili za nadzor delovanja nevronske mreže in prenašanje podatkov učne množice. Nevronska mreža lahko izkorišča visoko stopnjo paralelnosti, saj izračuna celotno plast nevronov hkrati. Analizirali smo porabo virov in hitrost delovanja nevronske mreže ter komunikacije med FPGA in procesorskim delom. Slabost omenjenega pristopa je v relativno visoki porabi virov. In the master's thesis, we implemented a neural network capable of learning with the backpropagation algorithm in an FPGA integrated circuit. The neural network was tested on a Zybo development board from Digilent. In addition to the FPGA part, integrated circuit Zynq-7000 also contains a processor, which we used to control the neural network and to load the training data. The neural network can take advantage of a high level of parallelism, due to processing of the entire layer of neurons simultaneously. We analyzed the resource consumption and speed of the neural network operation, as well as the communications between the FPGA and the processor part. The disadvantage of this approach is a relatively high consumption of resources. Nevronska mreža FPGA Sistem na čipu Neural network FPGA System on chip true false false Slovenski jezik Angleški jezik Magistrsko delo/naloga 2021-09-22 12:45:00 2021-09-22 12:45:03 2022-09-10 04:09:52 0000-00-00 00:00:00 2021 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 29621 80889603 Marolt_Blaz_-_Implementacija_nevronske_mreze_v_vezju_SoC_FPGA.pdf Marolt_Blaz_-_Implementacija_nevronske_mreze_v_vezju_SoC_FPGA.pdf 1 4275B4CED5B32A23DA20B45ED62AD792 d1c9a906cff6bbbb240190d11ea54a7c5283dea04040961e312c8f14e0cb8d20 df56859f-1b91-11ec-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=148336 Fakulteta za računalništvo in informatiko 0 0 0