Instead of bending a training-centric design, we must start with a clean sheet and apply a new set of rules tailored to ...
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 ...
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