Abstract: To approximate functions of a single variable by using linear interpolation is routine in empirical studies. Here, we consider approximating functions of several variables in a similar ...
an alternating series. It is also called the Madhava–Leibniz series as it is a special case of a more general series expansion for the inverse tangent function, first discovered by the Indian ...
Implementation of PWL and LUT based approximation for hyperbolic tangent activation function in VLSI
Abstract: Hardware implementation of neural networks plays a major role in many applications like digital signal processing, pattern recognition, testing of analog circuits etc. The major building ...
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