activation_leaky_relu: Leaky Rectified Linear Unit Activation Function
In metANN: Metaheuristic and Gradient-Based Optimization for Neural Network Training and Continuous Problems
activation_leaky_relu R Documentation
Leaky Rectified Linear Unit Activation Function
Description
Creates a leaky rectified linear unit activation function object.
Usage
activation_leaky_relu(alpha = 0.01)
Arguments
alpha
A non-negative numeric value controlling the slope for
negative inputs.
Value
An object of class "met_activation".
Examples
act <- activation_leaky_relu(alpha = 0.01)
act$fn(c(-1, 0, 1))
metANN documentation built on May 16, 2026, 1:06 a.m.
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| activation_leaky_relu | R Documentation |
Leaky Rectified Linear Unit Activation Function
Description
Creates a leaky rectified linear unit activation function object.
Usage
activation_leaky_relu(alpha = 0.01)
Arguments
alpha |
A non-negative numeric value controlling the slope for negative inputs. |
Value
An object of class "met_activation".
Examples
act <- activation_leaky_relu(alpha = 0.01)
act$fn(c(-1, 0, 1))
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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