(PECL fann >= 1.0.0)
fann_get_activation_steepness — Returns the activation steepness for supplied neuron and layer number
Get the activation steepness for neuron number neuron in layer number layer, counting the input layer as layer 0.
It is not possible to get 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 agressive 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.
Neural network resource.
The activation steepness for the neuron or -1 if the neuron is not defined in the neural network, or
FALSE on error.
- fann_set_activation_function() - Sets the activation function for supplied neuron and layer
- fann_set_activation_steepness_layer() - Sets the activation steepness for all of the neurons in the supplied layer number
- fann_set_activation_steepness_hidden() - Sets the steepness of the activation steepness for all neurons in the all hidden layers
- fann_set_activation_steepness_output() - Sets the steepness of the activation steepness in the output layer
- fann_set_activation_steepness() - Sets the activation steepness for supplied neuron and layer number