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In this paper, we present the acceleration of a pre-trained feedforward artificial neural network executing on a NIOS II processor. Without the use of hardware acceleration, a feedforward artificial neural network spends much of its execution time on the calculation of the activation function between layers, in this case, the hyperbolic tangent function. A speedup of 4.36 was achieved via a custom...
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