Abstract
In this paper we describe a machine vision Neural Net al.gorithm implemented in a FPGA. The algorithm is trained on a hand written digit MNIST dataset. For Neural Net Intellectual Property generation it is used the hls4ml library, which is a really powerful tool for fast implementation of Neural Net on FPGA.
This work was supported by the University of Bologna and INFN.
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Acknowledgment
The authors thank Giordano Calvanese for his collaboration in this work.
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Alfonsi, F., Gabrielli, A., Ronchieri, E. (2020). Neural Nets on FPGA a Machine Vision Algorithm Applied On MNIST Dataset Using Hls4ml Library. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12253. Springer, Cham. https://doi.org/10.1007/978-3-030-58814-4_46
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DOI: https://doi.org/10.1007/978-3-030-58814-4_46
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