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@@ -3,7 +3,7 @@
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<title>Algorithms_in_C++: machine_learning::neural_network::layers::DenseLayer Class Reference</title>
<link href="../../tabs.css" rel="stylesheet" type="text/css"/>
@@ -30,8 +30,8 @@ MathJax.Hub.Config({
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<div id="projectname">Algorithms_in_C++<span id="projectnumber">&#160;1.0.0</span>
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<div id="projectbrief">Set of algorithms implemented in C++.</div>
@@ -41,7 +41,7 @@ MathJax.Hub.Config({
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@@ -100,7 +100,7 @@ $(document).ready(function(){initNavTree('dc/d93/classmachine__learning_1_1neura
<div class="dynheader">
Collaboration diagram for machine_learning::neural_network::layers::DenseLayer:</div>
<div class="dyncontent">
<div class="center"><iframe scrolling="no" frameborder="0" src="../../d3/d65/classmachine__learning_1_1neural__network_1_1layers_1_1_dense_layer__coll__graph.svg" width="207" height="232"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
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@@ -196,40 +196,40 @@ int&#160;</td><td class="memItemRight" valign="bottom"><b>neurons</b></td></tr>
</table>
</dd>
</dl>
<div class="fragment"><div class="line"><a id="l00143" name="l00143"></a><span class="lineno"> 143</span> {</div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno"> 144</span> <span class="comment">// Choosing activation (and it&#39;s derivative)</span></div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"> 145</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;sigmoid&quot;</span>) {</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno"> 146</span> activation_function = neural_network::activations::sigmoid;</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno"> 147</span> dactivation_function = neural_network::activations::sigmoid;</div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno"> 148</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;relu&quot;</span>) {</div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno"> 149</span> activation_function = neural_network::activations::relu;</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno"> 150</span> dactivation_function = neural_network::activations::drelu;</div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno"> 151</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;tanh&quot;</span>) {</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno"> 152</span> activation_function = neural_network::activations::tanh;</div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"> 153</span> dactivation_function = neural_network::activations::dtanh;</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno"> 154</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;none&quot;</span>) {</div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno"> 155</span> <span class="comment">// Set identity function in casse of none is supplied</span></div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno"> 156</span> activation_function =</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno"> 157</span> neural_network::util_functions::identity_function;</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno"> 158</span> dactivation_function =</div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno"> 159</span> neural_network::util_functions::identity_function;</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno"> 160</span> } <span class="keywordflow">else</span> {</div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno"> 161</span> <span class="comment">// If supplied activation is invalid</span></div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno"> 162</span> <a class="code hl_classRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR (&quot;</span> &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span>;</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno"> 163</span> <a class="code hl_classRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;Invalid argument. Expected {none, sigmoid, relu, &quot;</span></div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno"> 164</span> <span class="stringliteral">&quot;tanh} got &quot;</span>;</div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno"> 165</span> <a class="code hl_classRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; activation &lt;&lt; <a class="code hl_functionRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno"> 166</span> <a class="code hl_functionRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno"> 167</span> }</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno"> 168</span> this-&gt;activation = activation; <span class="comment">// Setting activation name</span></div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno"> 169</span> this-&gt;neurons = neurons; <span class="comment">// Setting number of neurons</span></div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno"> 170</span> <span class="comment">// Initialize kernel according to flag</span></div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno"> 171</span> <span class="keywordflow">if</span> (random_kernel) {</div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno"> 172</span> <a class="code hl_function" href="../../d8/d77/namespacemachine__learning.html#abee7b35403af3612222d3b7a53074905">uniform_random_initialization</a>(kernel, kernel_shape, -1.0, 1.0);</div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno"> 173</span> } <span class="keywordflow">else</span> {</div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno"> 174</span> <a class="code hl_function" href="../../d8/d77/namespacemachine__learning.html#a8dd3f1ffbc2f26a3c88da1b1f8b7e9c4">unit_matrix_initialization</a>(kernel, kernel_shape);</div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno"> 175</span> }</div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno"> 176</span> }</div>
<div class="fragment"><div class="line"><span class="lineno"> 143</span> {</div>
<div class="line"><span class="lineno"> 144</span> <span class="comment">// Choosing activation (and it&#39;s derivative)</span></div>
<div class="line"><span class="lineno"> 145</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;sigmoid&quot;</span>) {</div>
<div class="line"><span class="lineno"> 146</span> activation_function = neural_network::activations::sigmoid;</div>
<div class="line"><span class="lineno"> 147</span> dactivation_function = neural_network::activations::sigmoid;</div>
<div class="line"><span class="lineno"> 148</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;relu&quot;</span>) {</div>
<div class="line"><span class="lineno"> 149</span> activation_function = neural_network::activations::relu;</div>
<div class="line"><span class="lineno"> 150</span> dactivation_function = neural_network::activations::drelu;</div>
<div class="line"><span class="lineno"> 151</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;tanh&quot;</span>) {</div>
<div class="line"><span class="lineno"> 152</span> activation_function = neural_network::activations::tanh;</div>
<div class="line"><span class="lineno"> 153</span> dactivation_function = neural_network::activations::dtanh;</div>
<div class="line"><span class="lineno"> 154</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;none&quot;</span>) {</div>
<div class="line"><span class="lineno"> 155</span> <span class="comment">// Set identity function in casse of none is supplied</span></div>
<div class="line"><span class="lineno"> 156</span> activation_function =</div>
<div class="line"><span class="lineno"> 157</span> neural_network::util_functions::identity_function;</div>
<div class="line"><span class="lineno"> 158</span> dactivation_function =</div>
<div class="line"><span class="lineno"> 159</span> neural_network::util_functions::identity_function;</div>
<div class="line"><span class="lineno"> 160</span> } <span class="keywordflow">else</span> {</div>
<div class="line"><span class="lineno"> 161</span> <span class="comment">// If supplied activation is invalid</span></div>
<div class="line"><span class="lineno"> 162</span> <a class="code hl_classRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR (&quot;</span> &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span>;</div>
<div class="line"><span class="lineno"> 163</span> <a class="code hl_classRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;Invalid argument. Expected {none, sigmoid, relu, &quot;</span></div>
<div class="line"><span class="lineno"> 164</span> <span class="stringliteral">&quot;tanh} got &quot;</span>;</div>
<div class="line"><span class="lineno"> 165</span> <a class="code hl_classRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; activation &lt;&lt; <a class="code hl_functionRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><span class="lineno"> 166</span> <a class="code hl_functionRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><span class="lineno"> 167</span> }</div>
<div class="line"><span class="lineno"> 168</span> this-&gt;activation = activation; <span class="comment">// Setting activation name</span></div>
<div class="line"><span class="lineno"> 169</span> this-&gt;neurons = neurons; <span class="comment">// Setting number of neurons</span></div>
<div class="line"><span class="lineno"> 170</span> <span class="comment">// Initialize kernel according to flag</span></div>
<div class="line"><span class="lineno"> 171</span> <span class="keywordflow">if</span> (random_kernel) {</div>
<div class="line"><span class="lineno"> 172</span> <a class="code hl_function" href="../../d8/d77/namespacemachine__learning.html#abee7b35403af3612222d3b7a53074905">uniform_random_initialization</a>(kernel, kernel_shape, -1.0, 1.0);</div>
<div class="line"><span class="lineno"> 173</span> } <span class="keywordflow">else</span> {</div>
<div class="line"><span class="lineno"> 174</span> <a class="code hl_function" href="../../d8/d77/namespacemachine__learning.html#a8dd3f1ffbc2f26a3c88da1b1f8b7e9c4">unit_matrix_initialization</a>(kernel, kernel_shape);</div>
<div class="line"><span class="lineno"> 175</span> }</div>
<div class="line"><span class="lineno"> 176</span> }</div>
<div class="ttc" id="abasic_ostream_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a></div></div>
<div class="ttc" id="aendl_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a></div><div class="ttdeci">T endl(T... args)</div></div>
<div class="ttc" id="aexit_html"><div class="ttname"><a href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a></div><div class="ttdeci">T exit(T... args)</div></div>
@@ -291,35 +291,35 @@ Here is the call graph for this function:</div>
</table>
</dd>
</dl>
<div class="fragment"><div class="line"><a id="l00184" name="l00184"></a><span class="lineno"> 184</span> {</div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno"> 185</span> <span class="comment">// Choosing activation (and it&#39;s derivative)</span></div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno"> 186</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;sigmoid&quot;</span>) {</div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno"> 187</span> activation_function = neural_network::activations::sigmoid;</div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno"> 188</span> dactivation_function = neural_network::activations::sigmoid;</div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno"> 189</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;relu&quot;</span>) {</div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno"> 190</span> activation_function = neural_network::activations::relu;</div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno"> 191</span> dactivation_function = neural_network::activations::drelu;</div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno"> 192</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;tanh&quot;</span>) {</div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno"> 193</span> activation_function = neural_network::activations::tanh;</div>
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno"> 194</span> dactivation_function = neural_network::activations::dtanh;</div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno"> 195</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;none&quot;</span>) {</div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno"> 196</span> <span class="comment">// Set identity function in casse of none is supplied</span></div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno"> 197</span> activation_function =</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno"> 198</span> neural_network::util_functions::identity_function;</div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno"> 199</span> dactivation_function =</div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno"> 200</span> neural_network::util_functions::identity_function;</div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno"> 201</span> } <span class="keywordflow">else</span> {</div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno"> 202</span> <span class="comment">// If supplied activation is invalid</span></div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno"> 203</span> <a class="code hl_classRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR (&quot;</span> &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span>;</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno"> 204</span> <a class="code hl_classRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;Invalid argument. Expected {none, sigmoid, relu, &quot;</span></div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno"> 205</span> <span class="stringliteral">&quot;tanh} got &quot;</span>;</div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno"> 206</span> <a class="code hl_classRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; activation &lt;&lt; <a class="code hl_functionRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno"> 207</span> <a class="code hl_functionRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno"> 208</span> }</div>
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno"> 209</span> this-&gt;activation = activation; <span class="comment">// Setting activation name</span></div>
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno"> 210</span> this-&gt;neurons = neurons; <span class="comment">// Setting number of neurons</span></div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno"> 211</span> this-&gt;kernel = kernel; <span class="comment">// Setting supplied kernel values</span></div>
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno"> 212</span> }</div>
<div class="fragment"><div class="line"><span class="lineno"> 184</span> {</div>
<div class="line"><span class="lineno"> 185</span> <span class="comment">// Choosing activation (and it&#39;s derivative)</span></div>
<div class="line"><span class="lineno"> 186</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;sigmoid&quot;</span>) {</div>
<div class="line"><span class="lineno"> 187</span> activation_function = neural_network::activations::sigmoid;</div>
<div class="line"><span class="lineno"> 188</span> dactivation_function = neural_network::activations::sigmoid;</div>
<div class="line"><span class="lineno"> 189</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;relu&quot;</span>) {</div>
<div class="line"><span class="lineno"> 190</span> activation_function = neural_network::activations::relu;</div>
<div class="line"><span class="lineno"> 191</span> dactivation_function = neural_network::activations::drelu;</div>
<div class="line"><span class="lineno"> 192</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;tanh&quot;</span>) {</div>
<div class="line"><span class="lineno"> 193</span> activation_function = neural_network::activations::tanh;</div>
<div class="line"><span class="lineno"> 194</span> dactivation_function = neural_network::activations::dtanh;</div>
<div class="line"><span class="lineno"> 195</span> } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (activation == <span class="stringliteral">&quot;none&quot;</span>) {</div>
<div class="line"><span class="lineno"> 196</span> <span class="comment">// Set identity function in casse of none is supplied</span></div>
<div class="line"><span class="lineno"> 197</span> activation_function =</div>
<div class="line"><span class="lineno"> 198</span> neural_network::util_functions::identity_function;</div>
<div class="line"><span class="lineno"> 199</span> dactivation_function =</div>
<div class="line"><span class="lineno"> 200</span> neural_network::util_functions::identity_function;</div>
<div class="line"><span class="lineno"> 201</span> } <span class="keywordflow">else</span> {</div>
<div class="line"><span class="lineno"> 202</span> <span class="comment">// If supplied activation is invalid</span></div>
<div class="line"><span class="lineno"> 203</span> <a class="code hl_classRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;ERROR (&quot;</span> &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;) : &quot;</span>;</div>
<div class="line"><span class="lineno"> 204</span> <a class="code hl_classRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; <span class="stringliteral">&quot;Invalid argument. Expected {none, sigmoid, relu, &quot;</span></div>
<div class="line"><span class="lineno"> 205</span> <span class="stringliteral">&quot;tanh} got &quot;</span>;</div>
<div class="line"><span class="lineno"> 206</span> <a class="code hl_classRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/basic_ostream.html">std::cerr</a> &lt;&lt; activation &lt;&lt; <a class="code hl_functionRef" target="_blank" href="http://en.cppreference.com/w/cpp/io/manip/endl.html">std::endl</a>;</div>
<div class="line"><span class="lineno"> 207</span> <a class="code hl_functionRef" target="_blank" href="http://en.cppreference.com/w/cpp/utility/program/exit.html">std::exit</a>(EXIT_FAILURE);</div>
<div class="line"><span class="lineno"> 208</span> }</div>
<div class="line"><span class="lineno"> 209</span> this-&gt;activation = activation; <span class="comment">// Setting activation name</span></div>
<div class="line"><span class="lineno"> 210</span> this-&gt;neurons = neurons; <span class="comment">// Setting number of neurons</span></div>
<div class="line"><span class="lineno"> 211</span> this-&gt;kernel = kernel; <span class="comment">// Setting supplied kernel values</span></div>
<div class="line"><span class="lineno"> 212</span> }</div>
</div><!-- fragment --><div class="dynheader">
Here is the call graph for this function:</div>
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@@ -479,7 +479,7 @@ Here is the call graph for this function:</div>
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<p >Main function </p>
<div class="fragment"><div class="line"><a id="l00160" name="l00160"></a><span class="lineno"> 160</span> {</div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno"> 161</span> <a class="code hl_class" href="../../dd/d2f/class_trie.html">Trie</a> trie;</div>
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