Calculation of the Sigmoid Activation Function in FPGA Using Rational Fractions

Author:

Serhiienko PavloORCID,Sergiyenko AnatoliyORCID,Telenyk SergiiORCID,Nowakowski GrzegorzORCID

Publisher

Springer Nature Switzerland

Reference28 articles.

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2. Young Kim, J-Y.: Chapter Five - FPGA based neural network accelerators. In: Kim, S., Deka, G.C. (eds.) Advances in Computers, vol. 122, pp. 135–165. Elsevier (2021). https://doi.org/10.1016/bs.adcom.2020.11.002

3. Bailey B., Machine Learning’s Growing Divide. Semiconductor Engineering (2018). https://semiengineering.com/machine-learnings-growing-divide. Accessed 19 Apr 2024

4. Mahajan, R., Sakhare, D. Gadgil R.: Review of artificial intelligence applications and architectures. In: Thakare, A.D., Bhandari, S.U. (eds.) Artificial Intelligence Applications and Reconfigurable Architectures, pp. 25–34. Wiley Online Library (2023). https://doi.org/10.1002/9781119857891.ch2

5. Floating-Point Operator v7.1 PG060, Xilinx (2020). https://docs.amd.com/v/u/en-US/pg060-floating-point. Accessed 19 Apr 2024

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