fann_set_activation_steepness
resource$ann,
float$activation_steepness,
int$layer,
int$neuron
): bool
Set the activation steepness for neuron number neuron in layer number layer, counting the input layer as layer 0.
It is not possible to set activation steepness for the neurons in the input layer.
The steepness of an activation function says something about how fast the activation function goes from the minimum to the maximum. A high value for the activation function will also give a more aggressive training.
When training neural networks where the output values should be at the extremes (usually 0 and 1, depending on the activation function), a steep activation function can be used (e.g. 1.0).
The default activation steepness is 0.5.
Parameters
- ann
-
Neural network resource.
- activation_steepness
-
The activation steepness.
- layer
-
Layer number.
- neuron
-
Neuron number.
Return Values
Returns true on success, or false otherwise.