mirror of
https://github.com/sigmasternchen/php-doc-en
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git-svn-id: https://svn.php.net/repository/phpdoc/en/trunk@331220 c90b9560-bf6c-de11-be94-00142212c4b1
108 lines
3.2 KiB
XML
108 lines
3.2 KiB
XML
<?xml version="1.0" encoding="utf-8"?>
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<!-- $Revision$ -->
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<refentry xml:id="function.fann-get-activation-steepness" xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink">
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<refnamediv>
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<refname>fann_get_activation_steepness</refname>
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<refpurpose>Returns the activation steepness for supplied neuron and layer number</refpurpose>
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</refnamediv>
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<refsect1 role="description">
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&reftitle.description;
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<methodsynopsis>
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<type>float</type><methodname>fann_get_activation_steepness</methodname>
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<methodparam><type>resource</type><parameter>ann</parameter></methodparam>
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<methodparam><type>int</type><parameter>layer</parameter></methodparam>
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<methodparam><type>int</type><parameter>neuron</parameter></methodparam>
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</methodsynopsis>
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<para>
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Get the activation steepness for neuron number <literal>neuron</literal> in layer number
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<literal>layer</literal>, counting the input layer as layer 0.
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</para>
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<para>
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It is not possible to get activation steepness for the neurons in the input layer.
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</para>
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<para>
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The steepness of an activation function says something about how fast the activation function goes
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from the minimum to the maximum. A high value for the activation function will also give a more agressive training.
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</para>
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<para>
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When training neural networks where the output values should be at the extremes
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(usually 0 and 1, depending on the activation function), a steep activation function can be used (e.g. 1.0).
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</para>
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<para>
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The default activation steepness is 0.5.
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</para>
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</refsect1>
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<refsect1 role="parameters">
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&reftitle.parameters;
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<variablelist>
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<varlistentry>
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<term><parameter>ann</parameter></term>
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<listitem>
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&fann.ann.description;
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</listitem>
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</varlistentry>
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<varlistentry>
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<term><parameter>layer</parameter></term>
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<listitem>
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<para>
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Layer number
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</para>
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</listitem>
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</varlistentry>
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<varlistentry>
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<term><parameter>neuron</parameter></term>
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<listitem>
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<para>
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Neuron number
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</para>
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</listitem>
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</varlistentry>
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</variablelist>
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</refsect1>
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<refsect1 role="returnvalues">
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&reftitle.returnvalues;
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<para>
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The activation steepness for the neuron or -1 if the neuron is not defined in the neural network, or &false; on error.
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</para>
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</refsect1>
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<refsect1 role="seealso">
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&reftitle.seealso;
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<para>
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<simplelist>
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<member><function>fann_set_activation_function</function></member>
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<member><function>fann_set_activation_steepness_layer</function></member>
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<member><function>fann_set_activation_steepness_hidden</function></member>
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<member><function>fann_set_activation_steepness_output</function></member>
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<member><function>fann_set_activation_steepness</function></member>
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</simplelist>
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</para>
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</refsect1>
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</refentry>
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<!-- Keep this comment at the end of the file
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Local variables:
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mode: sgml
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sgml-omittag:t
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sgml-shorttag:t
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sgml-minimize-attributes:nil
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sgml-always-quote-attributes:t
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sgml-indent-step:1
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sgml-indent-data:t
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indent-tabs-mode:nil
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sgml-parent-document:nil
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sgml-default-dtd-file:"~/.phpdoc/manual.ced"
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sgml-exposed-tags:nil
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sgml-local-catalogs:nil
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sgml-local-ecat-files:nil
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End:
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vim600: syn=xml fen fdm=syntax fdl=2 si
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vim: et tw=78 syn=sgml
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vi: ts=1 sw=1
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-->
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