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<div id="function.fann-set-activation-steepness" class="refentry">
 <div class="refnamediv">
  <h1 class="refname">fann_set_activation_steepness</h1>
  <p class="verinfo">(PECL fann &gt;= 1.0.0)</p><p class="refpurpose"><span class="refname">fann_set_activation_steepness</span> &mdash; <span class="dc-title">Sets the activation steepness for supplied neuron and layer number</span></p>

 </div>

 <div class="refsect1 description" id="refsect1-function.fann-set-activation-steepness-description">
  <h3 class="title">Açıklama</h3>
  <div class="methodsynopsis dc-description">
   <span class="methodname"><strong>fann_set_activation_steepness</strong></span>(<br>&nbsp;&nbsp;&nbsp;&nbsp;<span class="methodparam"><span class="type"><a href="language.types.resource.php" class="type resource">resource</a></span> <code class="parameter">$ann</code></span>,<br>&nbsp;&nbsp;&nbsp;&nbsp;<span class="methodparam"><span class="type"><a href="language.types.float.php" class="type float">float</a></span> <code class="parameter">$activation_steepness</code></span>,<br>&nbsp;&nbsp;&nbsp;&nbsp;<span class="methodparam"><span class="type"><a href="language.types.integer.php" class="type int">int</a></span> <code class="parameter">$layer</code></span>,<br>&nbsp;&nbsp;&nbsp;&nbsp;<span class="methodparam"><span class="type"><a href="language.types.integer.php" class="type int">int</a></span> <code class="parameter">$neuron</code></span><br>): <span class="type"><a href="language.types.boolean.php" class="type bool">bool</a></span></div>

  <p class="para rdfs-comment">
   Set the activation steepness for neuron number <code class="literal">neuron</code> in layer number <code class="literal">layer</code>,
   counting the input layer as layer 0.
  </p>
  <p class="para">
   It is not possible to set activation steepness for the neurons in the input layer.
  </p>
  <p class="para">
   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.
  </p>
  <p class="para">
   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).
  </p>
  <p class="para">
   The default activation steepness is 0.5.
  </p>
 </div>


 <div class="refsect1 parameters" id="refsect1-function.fann-set-activation-steepness-parameters">
  <h3 class="title">Bağımsız Değişkenler</h3>
  <dl>
   
    <dt><code class="parameter">ann</code></dt>
    <dd>
     <p class="para">Sinir ağı özkaynağı.</p>
    </dd>
   
   
    <dt><code class="parameter">activation_steepness</code></dt>
    <dd>
     <p class="para">
      The activation steepness.
     </p>
    </dd>
   
   
    <dt><code class="parameter">layer</code></dt>
    <dd>
     <p class="para">
      Layer number.
     </p>
    </dd>
   
   
    <dt><code class="parameter">neuron</code></dt>
    <dd>
     <p class="para">
      Neuron number.
     </p>
    </dd>
   
  </dl>
 </div>


 <div class="refsect1 returnvalues" id="refsect1-function.fann-set-activation-steepness-returnvalues">
  <h3 class="title">Dönen Değerler</h3>
  <p class="para">Başarı
durumunda <strong><code><a href="reserved.constants.php#constant.true">true</a></code></strong> yoksa <strong><code><a href="reserved.constants.php#constant.false">false</a></code></strong>döner.</p>
 </div>


 <div class="refsect1 seealso" id="refsect1-function.fann-set-activation-steepness-seealso">
  <h3 class="title">Ayrıca Bakınız</h3>
  <p class="para">
   <ul class="simplelist">
    <li><span class="function"><a href="function.fann-set-activation-steepness-layer.php" class="function" rel="rdfs-seeAlso">fann_set_activation_steepness_layer()</a> - Sets the activation steepness for all of the neurons in the supplied layer number</span></li>
    <li><span class="function"><a href="function.fann-set-activation-steepness-hidden.php" class="function" rel="rdfs-seeAlso">fann_set_activation_steepness_hidden()</a> - Sets the steepness of the activation steepness for all neurons in the all hidden layers</span></li>
    <li><span class="function"><a href="function.fann-set-activation-steepness-output.php" class="function" rel="rdfs-seeAlso">fann_set_activation_steepness_output()</a> - Sets the steepness of the activation steepness in the output layer</span></li>
    <li><span class="function"><a href="function.fann-get-activation-steepness.php" class="function" rel="rdfs-seeAlso">fann_get_activation_steepness()</a> - Returns the activation steepness for supplied neuron and layer number</span></li>
    <li><span class="function"><a href="function.fann-set-activation-function.php" class="function" rel="rdfs-seeAlso">fann_set_activation_function()</a> - Sets the activation function for supplied neuron and layer</span></li>
   </ul>
  </p>
 </div>



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