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. A. Tisan, S. Oniga, D. Mic, and A. Buchman, “Digital Implementation Of The Sigmoid Function For FPGA Circuits,” |

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