<?xml version="1.0" encoding="ascii"?>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"
"DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<head>
<title>Bio.NeuralNetwork.BackPropagation.Layer.HiddenLayer</title>
<link rel="stylesheet" href="epydoc.css" type="text/css" />
<script type="text/javascript" src="epydoc.js"></script>
</head>
<body bgcolor="white" text="black" link="blue" vlink="#204080"
alink="#204080">
<!-- ==================== NAVIGATION BAR ==================== -->
<table class="navbar" border="0" width="100%" cellpadding="0"
bgcolor="#a0c0ff" cellspacing="0">
<tr valign="middle">
<!-- Tree link -->
<th> <a
href="module-tree.html">Trees</a> </th>
<!-- Index link -->
<th> <a
href="identifier-index.html">Indices</a> </th>
<!-- Help link -->
<th> <a
href="help.html">Help</a> </th>
<th class="navbar" width="100%"></th>
</tr>
</table>
<table width="100%" cellpadding="0" cellspacing="0">
<tr valign="top">
<td width="100%">
<span class="breadcrumbs">
<a href="Bio-module.html">Package Bio</a> ::
<a href="Bio.NeuralNetwork-module.html">Package NeuralNetwork</a> ::
<a href="Bio.NeuralNetwork.BackPropagation-module.html">Package BackPropagation</a> ::
<a href="Bio.NeuralNetwork.BackPropagation.Layer-module.html">Module Layer</a> ::
Class HiddenLayer
</span>
</td>
<td>
<table cellpadding="0" cellspacing="0">
<!-- hide/show private -->
<tr><td align="right"><span class="options">[<a href="javascript:void(0);" class="privatelink"
onclick="toggle_private();">hide private</a>]</span></td></tr>
<tr><td align="right"><span class="options"
>[<a href="frames.html" target="_top">frames</a
>] | <a href="Bio.NeuralNetwork.BackPropagation.Layer.HiddenLayer-class.html"
target="_top">no frames</a>]</span></td></tr>
</table>
</td>
</tr>
</table>
<!-- ==================== CLASS DESCRIPTION ==================== -->
<h1 class="epydoc">Class HiddenLayer</h1><p class="nomargin-top"><span class="codelink"><a href="Bio.NeuralNetwork.BackPropagation.Layer-pysrc.html#HiddenLayer">source code</a></span></p>
<pre class="base-tree">
<a href="Bio.NeuralNetwork.BackPropagation.Layer.AbstractLayer-class.html">AbstractLayer</a> --+
|
<strong class="uidshort">HiddenLayer</strong>
</pre>
<hr />
<!-- ==================== INSTANCE METHODS ==================== -->
<a name="section-InstanceMethods"></a>
<table class="summary" border="1" cellpadding="3"
cellspacing="0" width="100%" bgcolor="white">
<tr bgcolor="#70b0f0" class="table-header">
<td colspan="2" class="table-header">
<table border="0" cellpadding="0" cellspacing="0" width="100%">
<tr valign="top">
<td align="left"><span class="table-header">Instance Methods</span></td>
<td align="right" valign="top"
><span class="options">[<a href="#section-InstanceMethods"
class="privatelink" onclick="toggle_private();"
>hide private</a>]</span></td>
</tr>
</table>
</td>
</tr>
<tr>
<td width="15%" align="right" valign="top" class="summary">
<span class="summary-type"> </span>
</td><td class="summary">
<table width="100%" cellpadding="0" cellspacing="0" border="0">
<tr>
<td><span class="summary-sig"><a href="Bio.NeuralNetwork.BackPropagation.Layer.HiddenLayer-class.html#__init__" class="summary-sig-name">__init__</a>(<span class="summary-sig-arg">self</span>,
<span class="summary-sig-arg">num_nodes</span>,
<span class="summary-sig-arg">next_layer</span>,
<span class="summary-sig-arg">activation</span>=<span class="summary-sig-default"><function logistic_function at 0x3fd86e0></span>)</span><br />
Initialize a hidden layer.</td>
<td align="right" valign="top">
<span class="codelink"><a href="Bio.NeuralNetwork.BackPropagation.Layer-pysrc.html#HiddenLayer.__init__">source code</a></span>
</td>
</tr>
</table>
</td>
</tr>
<tr>
<td width="15%" align="right" valign="top" class="summary">
<span class="summary-type"> </span>
</td><td class="summary">
<table width="100%" cellpadding="0" cellspacing="0" border="0">
<tr>
<td><span class="summary-sig"><a href="Bio.NeuralNetwork.BackPropagation.Layer.HiddenLayer-class.html#update" class="summary-sig-name">update</a>(<span class="summary-sig-arg">self</span>,
<span class="summary-sig-arg">previous_layer</span>)</span><br />
Update the values of nodes from the previous layer info.</td>
<td align="right" valign="top">
<span class="codelink"><a href="Bio.NeuralNetwork.BackPropagation.Layer-pysrc.html#HiddenLayer.update">source code</a></span>
</td>
</tr>
</table>
</td>
</tr>
<tr>
<td width="15%" align="right" valign="top" class="summary">
<span class="summary-type"> </span>
</td><td class="summary">
<table width="100%" cellpadding="0" cellspacing="0" border="0">
<tr>
<td><span class="summary-sig"><a href="Bio.NeuralNetwork.BackPropagation.Layer.HiddenLayer-class.html#backpropagate" class="summary-sig-name">backpropagate</a>(<span class="summary-sig-arg">self</span>,
<span class="summary-sig-arg">outputs</span>,
<span class="summary-sig-arg">learning_rate</span>,
<span class="summary-sig-arg">momentum</span>)</span><br />
Recalculate all weights based on the last round of prediction.</td>
<td align="right" valign="top">
<span class="codelink"><a href="Bio.NeuralNetwork.BackPropagation.Layer-pysrc.html#HiddenLayer.backpropagate">source code</a></span>
</td>
</tr>
</table>
</td>
</tr>
<tr>
<td colspan="2" class="summary">
<p class="indent-wrapped-lines"><b>Inherited from <code><a href="Bio.NeuralNetwork.BackPropagation.Layer.AbstractLayer-class.html">AbstractLayer</a></code></b>:
<code><a href="Bio.NeuralNetwork.BackPropagation.Layer.AbstractLayer-class.html#__str__">__str__</a></code>,
<code><a href="Bio.NeuralNetwork.BackPropagation.Layer.AbstractLayer-class.html#set_weight">set_weight</a></code>
</p>
</td>
</tr>
</table>
<!-- ==================== METHOD DETAILS ==================== -->
<a name="section-MethodDetails"></a>
<table class="details" border="1" cellpadding="3"
cellspacing="0" width="100%" bgcolor="white">
<tr bgcolor="#70b0f0" class="table-header">
<td colspan="2" class="table-header">
<table border="0" cellpadding="0" cellspacing="0" width="100%">
<tr valign="top">
<td align="left"><span class="table-header">Method Details</span></td>
<td align="right" valign="top"
><span class="options">[<a href="#section-MethodDetails"
class="privatelink" onclick="toggle_private();"
>hide private</a>]</span></td>
</tr>
</table>
</td>
</tr>
</table>
<a name="__init__"></a>
<div>
<table class="details" border="1" cellpadding="3"
cellspacing="0" width="100%" bgcolor="white">
<tr><td>
<table width="100%" cellpadding="0" cellspacing="0" border="0">
<tr valign="top"><td>
<h3 class="epydoc"><span class="sig"><span class="sig-name">__init__</span>(<span class="sig-arg">self</span>,
<span class="sig-arg">num_nodes</span>,
<span class="sig-arg">next_layer</span>,
<span class="sig-arg">activation</span>=<span class="sig-default"><function logistic_function at 0x3fd86e0></span>)</span>
<br /><em class="fname">(Constructor)</em>
</h3>
</td><td align="right" valign="top"
><span class="codelink"><a href="Bio.NeuralNetwork.BackPropagation.Layer-pysrc.html#HiddenLayer.__init__">source code</a></span>
</td>
</tr></table>
<p>Initialize a hidden layer.</p>
<p>Arguments:</p>
<p>o num_nodes -- The number of nodes in this hidden layer.</p>
<p>o next_layer -- The next layer in the neural network that this is
connected to.</p>
<p>o activation -- The transformation function used to transform
predicted values.</p>
<dl class="fields">
<dt>Overrides:
<a href="Bio.NeuralNetwork.BackPropagation.Layer.AbstractLayer-class.html#__init__">AbstractLayer.__init__</a>
</dt>
</dl>
</td></tr></table>
</div>
<a name="update"></a>
<div>
<table class="details" border="1" cellpadding="3"
cellspacing="0" width="100%" bgcolor="white">
<tr><td>
<table width="100%" cellpadding="0" cellspacing="0" border="0">
<tr valign="top"><td>
<h3 class="epydoc"><span class="sig"><span class="sig-name">update</span>(<span class="sig-arg">self</span>,
<span class="sig-arg">previous_layer</span>)</span>
</h3>
</td><td align="right" valign="top"
><span class="codelink"><a href="Bio.NeuralNetwork.BackPropagation.Layer-pysrc.html#HiddenLayer.update">source code</a></span>
</td>
</tr></table>
<p>Update the values of nodes from the previous layer info.</p>
<p>Arguments:</p>
<p>o previous_layer -- The previous layer in the network.</p>
<dl class="fields">
</dl>
</td></tr></table>
</div>
<a name="backpropagate"></a>
<div>
<table class="details" border="1" cellpadding="3"
cellspacing="0" width="100%" bgcolor="white">
<tr><td>
<table width="100%" cellpadding="0" cellspacing="0" border="0">
<tr valign="top"><td>
<h3 class="epydoc"><span class="sig"><span class="sig-name">backpropagate</span>(<span class="sig-arg">self</span>,
<span class="sig-arg">outputs</span>,
<span class="sig-arg">learning_rate</span>,
<span class="sig-arg">momentum</span>)</span>
</h3>
</td><td align="right" valign="top"
><span class="codelink"><a href="Bio.NeuralNetwork.BackPropagation.Layer-pysrc.html#HiddenLayer.backpropagate">source code</a></span>
</td>
</tr></table>
<p>Recalculate all weights based on the last round of prediction.</p>
<p>Arguments:</p>
<p>o learning_rate -- The learning rate of the network</p>
<p>o momentum - The amount of weight to place on the previous weight
change.</p>
<p>o outputs - The output values we are using to see how good our network
is at predicting things.</p>
<dl class="fields">
</dl>
</td></tr></table>
</div>
<br />
<!-- ==================== NAVIGATION BAR ==================== -->
<table class="navbar" border="0" width="100%" cellpadding="0"
bgcolor="#a0c0ff" cellspacing="0">
<tr valign="middle">
<!-- Tree link -->
<th> <a
href="module-tree.html">Trees</a> </th>
<!-- Index link -->
<th> <a
href="identifier-index.html">Indices</a> </th>
<!-- Help link -->
<th> <a
href="help.html">Help</a> </th>
<th class="navbar" width="100%"></th>
</tr>
</table>
<table border="0" cellpadding="0" cellspacing="0" width="100%%">
<tr>
<td align="left" class="footer">
Generated by Epydoc 3.0.1 on Mon Sep 15 09:26:36 2008
</td>
<td align="right" class="footer">
<a target="mainFrame" href="http://epydoc.sourceforge.net"
>http://epydoc.sourceforge.net</a>
</td>
</tr>
</table>
<script type="text/javascript">
<!--
// Private objects are initially displayed (because if
// javascript is turned off then we want them to be
// visible); but by default, we want to hide them. So hide
// them unless we have a cookie that says to show them.
checkCookie();
// -->
</script>
</body>
</html>
