activation_derivative: Derivative of Activation Functions
In metANN: Metaheuristic and Gradient-Based Optimization for Neural Network Training and Continuous Problems
activation_derivative R Documentation
Derivative of Activation Functions
Description
Internal helper for computing activation derivatives during backpropagation.
Usage
activation_derivative(activation, z, a)
Arguments
activation
A metANN activation object.
z
Pre-activation values.
a
Activation values.
Value
A numeric matrix with the same dimensions as z.
metANN documentation built on May 16, 2026, 1:06 a.m.
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| activation_derivative | R Documentation |
Derivative of Activation Functions
Description
Internal helper for computing activation derivatives during backpropagation.
Usage
activation_derivative(activation, z, a)
Arguments
activation |
A metANN activation object. |
z |
Pre-activation values. |
a |
Activation values. |
Value
A numeric matrix with the same dimensions as z.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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