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Operating Systems Linux Red Hat Connection establish two server Post 302985285 by RudiC on Tuesday 8th of November 2016 04:21:08 AM
Old 11-08-2016
This is quite a basic question. Where do you want to start - at the network's physical layer?
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FANN_SET_ACTIVATION_STEEPNESS(3)					 1					  FANN_SET_ACTIVATION_STEEPNESS(3)

fann_set_activation_steepness - Sets the activation steepness for supplied neuron and layer number

SYNOPSIS
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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