Tanh / Computation Layer

Calculate the hyperbolic tangent function. Similar to numpy.tanh() or R's tanh().

Mathematical form: $y_{i} = tanh (x_{i}) = \frac{sinh ( x _{i} )}{cosh ( x _{i} )} = \frac{e ^{x_{i}} - e ^{- x_{i}}}{e ^{x_{i}} + e ^{- x_{i}}}$ Key properties:

Output range: (-1, 1)
Odd function: tanh(-x) = -tanh(x)
Horizontal asymptotes at ±1

Common applications:

Neural network activation
Signal processing
Data normalization
Control systems
Physical modeling

Note: Often used in machine learning due to its bounded output range.

Table

Transforms

[, ...]

Select

column

The numeric column to compute hyperbolic tangent for. Typical inputs:

Neural network inputs
Signal values
Control parameters
Feature scaling
Time series data

Name for the new column. If not provided, the system generates a unique name. If AsColumn matches an existing column, the existing column is replaced. The name should follow valid column naming conventions.