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module-leaf-detective_main.Layer.html
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<title>Layer - Documentation</title>
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<li class="nav-link nav-home-link"><a href="index.html">Home</a></li><li class="nav-heading">Classes</li><li class="nav-heading"><span class="nav-item-type type-class">C</span><span class="nav-item-name"><a href="module-leaf-detective_main.Biases.html">Biases</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Biases.html#fillRandom">fillRandom</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Biases.html#populate">populate</a></span></li><li class="nav-heading"><span class="nav-item-type type-class">C</span><span class="nav-item-name"><a href="module-leaf-detective_main.Layer.html">Layer</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Layer.html#addBiases">addBiases</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Layer.html#addWeights">addWeights</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Layer.html#apply">apply</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Layer.html#connect">connect</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Layer.html#populate">populate</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Layer.html#run">run</a></span></li><li class="nav-heading"><span class="nav-item-type type-class">C</span><span class="nav-item-name"><a href="module-leaf-detective_main.Network.html">Network</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Network.html#addBiases">addBiases</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Network.html#addWeights">addWeights</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Network.html#backpropagate">backpropagate</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Network.html#calculateDeltas">calculateDeltas</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Network.html#connect">connect</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Network.html#feed">feed</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Network.html#populate">populate</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Network.html#predict">predict</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_main.Network.html#run">run</a></span></li><li class="nav-heading"><span class="nav-item-type type-class">C</span><span class="nav-item-name"><a href="module-leaf-detective_main.Weights.html">Weights</a></span></li><li class="nav-item"><span 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class="nav-item-name"><a href="module-leaf-detective_helpers.html#.sigmoid">sigmoid</a></span></li><li class="nav-item"><span class="nav-item-type type-function">F</span><span class="nav-item-name"><a href="module-leaf-detective_helpers.html#.squaredError">squaredError</a></span></li><li class="nav-heading"><span class="nav-item-type type-module">M</span><span class="nav-item-name"><a href="module-leaf-detective_main.html">leaf-detective/main</a></span></li>
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<div id="main">
<h1 class="page-title">Layer</h1>
<section>
<header>
<h2>
<span class="ancestors"><a href="module-leaf-detective_main.html">leaf-detective/main</a>.</span>
Layer
</h2>
<div class="class-description"><p>Class representing layer matrix</p></div>
</header>
<article>
<div class="container-overview">
<div class="section-method">
<h2>Constructor</h2>
<h4 class="name" id="Layer"><span class="type-signature"></span>new Layer<span class="signature">(length)</span><span class="type-signature"></span></h4>
<div class="description">
<p>Creates a layer with given amount of neurons</p>
</div>
<dl class="details">
<dt class="tag-source">Source:</dt>
<dd class="tag-source"><ul class="dummy"><li>
<a href="index.js.html">index.js</a>, <a href="index.js.html#line102">line 102</a>
</li></ul></dd>
</dl>
<h5>Parameters:</h5>
<table class="params">
<thead>
<tr>
<th>Name</th>
<th>Type</th>
<th class="last">Description</th>
</tr>
</thead>
<tbody>
<tr>
<td class="name"><code>length</code></td>
<td class="type">
<span class="param-type"><code>Number</code></span>
</td>
<td class="description last">
<p>length / amount of neurons of layer</p>
</td>
</tr>
</tbody>
</table>
<div class="section-examples">
<h5>Example</h5>
<pre class="prettyprint"><code>// Import constructors and helpers
import { Layer, Weights, Biases } from "lib/index.js";
import { sigmoid } from "lib/activations.js";
// Create Layers
let inputLayer = new Layer(5);
let outputLayer = new Layer(2);
// Create weights and biases
let weights = new Weights(inputLayer.length, outputLayer.length).fillRandom();
let biases = new Biases(outputLayer.length).populate([-10, 10]);
// Connect weights and outputLayer to inputLayer
inputLayer.addWeights(weights).connect(outputLayer);
// Connect biases to outputLayer
outputLayer.addBiases(biases);
// Add data and run neural net
inputLayer.populate([1, 1, 1, 1, 1]).run().apply(sigmoid);</code></pre>
</div>
</div>
</div>
<h3 class="subsection-title">Methods</h3>
<div class="section-method">
<h4 class="name" id="addBiases"><span class="type-signature"></span>addBiases<span class="signature">(biases)</span><span class="type-signature"> → {Layer}</span></h4>
<div class="description">
<p>Adds Biases object to layer</p>
</div>
<dl class="details">
<dt class="tag-source">Source:</dt>
<dd class="tag-source"><ul class="dummy"><li>
<a href="index.js.html">index.js</a>, <a href="index.js.html#line130">line 130</a>
</li></ul></dd>
</dl>
<h5>Parameters:</h5>
<table class="params">
<thead>
<tr>
<th>Name</th>
<th>Type</th>
<th class="last">Description</th>
</tr>
</thead>
<tbody>
<tr>
<td class="name"><code>biases</code></td>
<td class="type">
<span class="param-type"><code>Biases</code></span>
</td>
<td class="description last">
<p>biases object from Biases constructor; belongs to
ouput layer</p>
</td>
</tr>
</tbody>
</table>
<div class="section-returns">
<h5>Returns:</h5>
<dl class="param-type">
<dt>
Type:
</dt>
<dd>
<span class="param-type"><code>Layer</code></span>
</dd>
</dl>
</div>
<div class="section-examples">
<h5>Example</h5>
<pre class="prettyprint"><code>let inputLayer = new Layer(5);
let outputLayer = new Layer(2);
outputLayer.addBiases(biases);</code></pre>
</div>
</div>
<div class="section-method">
<h4 class="name" id="addWeights"><span class="type-signature"></span>addWeights<span class="signature">(weights)</span><span class="type-signature"> → {Layer}</span></h4>
<div class="description">
<p>Adds Weights object to layer</p>
</div>
<dl class="details">
<dt class="tag-source">Source:</dt>
<dd class="tag-source"><ul class="dummy"><li>
<a href="index.js.html">index.js</a>, <a href="index.js.html#line148">line 148</a>
</li></ul></dd>
</dl>
<h5>Parameters:</h5>
<table class="params">
<thead>
<tr>
<th>Name</th>
<th>Type</th>
<th class="last">Description</th>
</tr>
</thead>
<tbody>
<tr>
<td class="name"><code>weights</code></td>
<td class="type">
<span class="param-type"><code>Weights</code></span>
</td>
<td class="description last">
<p>weights object from Weights constructor; belongs
to input layer</p>
</td>
</tr>
</tbody>
</table>
<div class="section-returns">
<h5>Returns:</h5>
<dl class="param-type">
<dt>
Type:
</dt>
<dd>
<span class="param-type"><code>Layer</code></span>
</dd>
</dl>
</div>
<div class="section-examples">
<h5>Example</h5>
<pre class="prettyprint"><code>let inputLayer = new Layer(5);
let outputLayer = new Layer(2);
inputLayer.addWeights(weights);</code></pre>
</div>
</div>
<div class="section-method">
<h4 class="name" id="apply"><span class="type-signature"></span>apply<span class="signature">(activation)</span><span class="type-signature"> → {Layer}</span></h4>
<div class="description">
<p>Applys given activation function to all neurons of the layer</p>
</div>
<dl class="details">
<dt class="tag-source">Source:</dt>
<dd class="tag-source"><ul class="dummy"><li>
<a href="index.js.html">index.js</a>, <a href="index.js.html#line169">line 169</a>
</li></ul></dd>
</dl>
<h5>Parameters:</h5>
<table class="params">
<thead>
<tr>
<th>Name</th>
<th>Type</th>
<th class="last">Description</th>
</tr>
</thead>
<tbody>
<tr>
<td class="name"><code>activation</code></td>
<td class="type">
<span class="param-type"><code>Activation</code></span>
|
<span class="param-type"><code>object</code></span>
</td>
<td class="description last">
<p>activation object with a
<code>source</code> and <code>derivative</code> method</p>
</td>
</tr>
</tbody>
</table>
<div class="section-returns">
<h5>Returns:</h5>
<dl class="param-type">
<dt>
Type:
</dt>
<dd>
<span class="param-type"><code>Layer</code></span>
</dd>
</dl>
</div>
<div class="section-examples">
<h5>Example</h5>
<pre class="prettyprint"><code>import { sigmoid } from "lib/activations.js"
outputLayer.apply(sigmoid);</code></pre>
</div>
</div>
<div class="section-method">
<h4 class="name" id="connect"><span class="type-signature"></span>connect<span class="signature">(layer)</span><span class="type-signature"> → {Layer}</span></h4>
<div class="description">
<p>Connects an input layer with an output layer</p>
</div>
<dl class="details">
<dt class="tag-source">Source:</dt>
<dd class="tag-source"><ul class="dummy"><li>
<a href="index.js.html">index.js</a>, <a href="index.js.html#line186">line 186</a>
</li></ul></dd>
</dl>
<h5>Parameters:</h5>
<table class="params">
<thead>
<tr>
<th>Name</th>
<th>Type</th>
<th class="last">Description</th>
</tr>
</thead>
<tbody>
<tr>
<td class="name"><code>layer</code></td>
<td class="type">
<span class="param-type"><code>Layer</code></span>
</td>
<td class="description last">
<p>output layer object</p>
</td>
</tr>
</tbody>
</table>
<div class="section-returns">
<h5>Returns:</h5>
<dl class="param-type">
<dt>
Type:
</dt>
<dd>
<span class="param-type"><code>Layer</code></span>
</dd>
</dl>
</div>
<div class="section-examples">
<h5>Example</h5>
<pre class="prettyprint"><code>let inputLayer = new Layer(5);
let outputLayer = new Layer(2);
inputLayer.connect(outputLayer)</code></pre>
</div>
</div>
<div class="section-method">
<h4 class="name" id="populate"><span class="type-signature"></span>populate<span class="signature">(data)</span><span class="type-signature"> → {Layer}</span></h4>
<div class="description">
<p>Populates neurons with data</p>
</div>
<dl class="details">
<dt class="tag-source">Source:</dt>
<dd class="tag-source"><ul class="dummy"><li>
<a href="index.js.html">index.js</a>, <a href="index.js.html#line199">line 199</a>
</li></ul></dd>
</dl>
<h5>Parameters:</h5>
<table class="params">
<thead>
<tr>
<th>Name</th>
<th>Type</th>
<th class="last">Description</th>
</tr>
</thead>
<tbody>
<tr>
<td class="name"><code>data</code></td>