Využití vysokoúrovňové syntézy pro urychlení vývoje aplikací na programovatelné logice
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Vysoká škola báňská – Technická univerzita Ostrava
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Abstract
The first part of the bachelor thesis deals with the creation of a neural network with feedback
that can recognize the handwritten data set of MNIST numbers. In the second part of the
bachelor’s thesis, I deal with the implementation of a neural network on an FPGA device using
a compiler, where I monitor changes in the speed of code execution based on changes before
translation.
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Neural network, FPGA, MNIST, compiler, neural network with backpropagation,
OpenCL, C ++