Optimizing tanh: The Math Behind High-Speed Neural Networks and Audio Processing

Standard mathematical functions often become performance bottlenecks in real-time DSP and large-scale AI inference. This analysis explores how tailored polynomial approximations can drastically reduce computational overhead without sacrificing functional integrity.