FANN_SET_ACTIVATION_STEEPNESS(3) 1 FANN_SET_ACTIVATION_STEEPNESS(3)fann_set_activation_steepness - Sets the activation steepness for supplied neuron and layer numberSYNOPSIS
bool fann_set_activation_steepness (resource $ann, float $activation_steepness, int $layer, int $neuron)
DESCRIPTION
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 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.
PARAMETERS
o $ann
-Neural network resource.
o $activation_steepness
- The activation steepness.
o $layer
- Layer number.
o $neuron
- Neuron number.
RETURN VALUES
Returns TRUE on success, or FALSE otherwise.
SEE ALSO fann_set_activation_steepness_layer(3), fann_set_activation_steepness_hidden(3), fann_set_activation_steepness_output(3), fann_get_activa-
tion_steepness(3), fann_set_activation_function(3).
PHP Documentation Group FANN_SET_ACTIVATION_STEEPNESS(3)
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FANN_CREATE_STANDARD(3) 1 FANN_CREATE_STANDARD(3)fann_create_standard - Creates a standard fully connected backpropagation neural networkSYNOPSIS
resource fann_create_standard (int $num_layers, int $num_neurons1, int $num_neurons2, [int $...])
DESCRIPTION
Creates a standard fully connected backpropagation neural network.
There will be a bias neuron in each layer (except the output layer), and this bias neuron will be connected to all neurons in the next
layer. When running the network, the bias nodes always emits 1.
To destroy a neural network use the fann_destroy(3) function.
PARAMETERS
o $num_layers
- The total number of layers including the input and the output layer.
o $num_neurons1
- Number of neurons in the first layer.
o $num_neurons2
- Number of neurons in the second layer.
o $...
- Number of neurons in other layers.
RETURN VALUES
Returns a neural network resource on success, or FALSE on error.
SEE ALSO fann_create_standard_array(3), fann_create_sparse(3), fann_create_shortcut(3).
PHP Documentation Group FANN_CREATE_STANDARD(3)
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