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The paper presents a digital implementation of the Softmax and Inverse Softmax activation functions for Deep Neural Networks, highlighting the use of the CORDIC algorithm to optimize performance and power consumption. The Inverse Softmax function, introduced as a novel alternative, eliminates the need for division, resulting in a smaller footprint and improved efficiency compared to the traditional Softmax function. Experimental results demonstrate that the Inverse Softmax function reduces power and area re

Author

niyafniyaf00

Language

EN