Skip to content

Main content

Tanh Temperature Sensitivity Tool

Differentiate tanh(x/temperature) with respect to positive temperature.

Loading tool…

Description

With t=tanh(x/temperature), return -x*(1-t²)/temperature², the partial derivative with respect to temperature; return zero directly when 1-t² is numerically zero.

Hyperbolic tangent maps a real argument to values between -1 and 1. Input scaling or temperature changes its slope and location in input coordinates. A derivative with respect to temperature differs from differentiation with respect to the scalar input.

With t=tanh(x/temperature), return -x*(1-t²)/temperature², the partial derivative with respect to temperature; return zero directly when 1-t² is numerically zero.

When to use this tool

Use Tanh Temperature Sensitivity when checking the stated hyperbolic-tangent coordinate or derivative convention.

How to use the tool and how it works

  1. Enter x, temperature. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read derivative. Use the output convention below.

Require temperature>0. With t=tanh(x/temperature), return -x*(1-t²)/temperature², the partial derivative with respect to temperature; return zero directly when 1-t² is numerically zero.1

Input fieldMeaning and unitsAccepted input
xFinite scalar input coordinate; use the mathematical scale specified above.Required. Finite number.
temperaturePositive dimensionless logit/input temperature multiplier under the stated convention.Required. Finite number; strictly above 0.
Output fieldInterpretationReturned shape
derivativePartial derivative of tanh(x/temperature) with respect to temperature at fixed x.Required. Finite number.
json
{
  "input": {
    "x": 2,
    "temperature": 2
  },
  "output": {
    "derivative": -0.20998717080701307
  }
}

Limitations and assumptions

  • Input x is held fixed; floating-point saturation can produce an exact zero despite a nonzero mathematical tail derivative.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Use the complete explicit function and the intended parameter, branch and numerical conventions for symbolic, tensor or model-level differentiation; assess training behavior independently.

References

  1. Calculation and input contract: activation/tanh-temperature-sensitivity — tool.io

Similar or alternative tools