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Hyperbolic Tangent in FPGA

posted Mar 3, 2018, 11:12 PM by MUHAMMAD MUN`IM AHMAD ZABIDI   [ updated Mar 4, 2018, 7:08 PM ]
The hyperbolic tangent function is important in neural networks.



The first solution comes from S. Ghaffari and S. Sharifian, "FPGA-based convolutional neural network accelerator design using high level synthesize," 2016 2nd International Conference of Signal Processing and Intelligent Systems (ICSPIS), Tehran, 2016, pp. 1-6.



The second solution: R. A. Callejas-Molina, V. M. Jimenez-Fernandez and H. Vazquez-Leal, "Digital architecture to implement a piecewise-linear approximation for the hyperbolic tangent function," 2015 International Conference on Computing Systems and Telematics (ICCSAT), Xalapa, 2015, pp. 1-4.


Lastly, A-law approximation generator.

A. Tisan, S. Oniga, D. Mic, and A. Buchman, “Digital Implementation Of The Sigmoid Function For FPGA Circuits,” ACTA Tech. NAPOCENSIS, vol. 50, no. 2, 2009.


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