IMPLEMENTING NONLINEAR ACTIVATION FUNCTIONS IN NEURAL NETWORK EMULATORS
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An alternative approach to implementing nonlinear activation functions for digital neural networks is presented. Unlike other methods, this approach has the advantage that it is processed by a common arithmetic unit already required for the network computations and it does not require the use of a look-up table.
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