Abstract: Nowadays, there is a huge demand for high-performance applications that require massive parallel operations that far exceed the capabilities of traditional CPUs. On the other hand, the rapid ...
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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