Abstract: Activation functions are pivotal in neural networks, determining the output of each neuron. Traditionally, functions like sigmoid and ReLU have been static and deterministic. However, the ...
Abstract: Facing the ever-increasing demands of microprocessors for computing power nowadays, trigonometric functions, as the basis of various algorithms, have problems with latency, resource overhead ...
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