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<a href="linear__no__bias_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#ifndef MLPACK_METHODS_ANN_LAYER_LINEAR_NO_BIAS_HPP</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#define MLPACK_METHODS_ANN_LAYER_LINEAR_NO_BIAS_HPP</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="prereqs_8hpp.html">mlpack/prereqs.hpp</a>&gt;</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="layer__types_8hpp.html">layer_types.hpp</a>&quot;</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacemlpack.html">mlpack</a> {</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="keyword">namespace </span>ann {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="keyword">template</span> &lt;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="keyword">typename</span> InputDataType = arma::mat,</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="keyword">typename</span> OutputDataType = arma::mat</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;&gt;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="keyword">class </span>LinearNoBias</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keyword">public</span>:</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#aff9e4a1fd72063c29030e3ad21a3d93b">LinearNoBias</a>();</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#aff9e4a1fd72063c29030e3ad21a3d93b">LinearNoBias</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a7cb52932b4acd6e12ecddad9e244b0d2">inSize</a>, <span class="keyword">const</span> <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a3490cfba08d0a3158203622b05777cc0">outSize</a>);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <span class="comment">/*</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;<span class="comment"> * Reset the layer parameter.</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#abb95f813a32402b1b7ef2b47174b71da">Reset</a>();</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keyword">template</span>&lt;<span class="keyword">typename</span> eT&gt;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a61d847816547e978b14731b56e472e43">Forward</a>(<span class="keyword">const</span> arma::Mat&lt;eT&gt;&amp;&amp; input, arma::Mat&lt;eT&gt;&amp;&amp; output);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <span class="keyword">template</span>&lt;<span class="keyword">typename</span> eT&gt;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#ae70ba5ca75a6b3474e0cc493581bdbb9">Backward</a>(<span class="keyword">const</span> arma::Mat&lt;eT&gt;&amp;&amp; <span class="comment">/* input */</span>,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; arma::Mat&lt;eT&gt;&amp;&amp; gy,</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; arma::Mat&lt;eT&gt;&amp;&amp; g);</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160;</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="comment">/*</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;<span class="comment"> * Calculate the gradient using the output delta and the input activation.</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;<span class="comment"> * @param input The input parameter used for calculating the gradient.</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;<span class="comment"> * @param error The calculated error.</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;<span class="comment"> * @param gradient The calculated gradient.</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keyword">template</span>&lt;<span class="keyword">typename</span> eT&gt;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a951be111b4ede2df8928c1109a7c7a44">Gradient</a>(<span class="keyword">const</span> arma::Mat&lt;eT&gt;&amp;&amp; input,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; arma::Mat&lt;eT&gt;&amp;&amp; error,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; arma::Mat&lt;eT&gt;&amp;&amp; <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a0886025ec27c5e1589cfa4b1eb997460">gradient</a>);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160;</div><div class="line"><a name="l00091"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#ac47edbd080895802e27b959de04d7496"> 91</a></span>&#160; OutputDataType <span class="keyword">const</span>&amp; <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#ac47edbd080895802e27b959de04d7496">Parameters</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a1136b7c629db6bf44ff70d7f34f9d581">weights</a>; }</div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#ac8e9375fb9a5d9f333f721f85f882ae1"> 93</a></span>&#160; OutputDataType&amp; <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#ac8e9375fb9a5d9f333f721f85f882ae1">Parameters</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a1136b7c629db6bf44ff70d7f34f9d581">weights</a>; }</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#ae88b1fca3d96c82959449d692fa595c9"> 96</a></span>&#160; InputDataType <span class="keyword">const</span>&amp; <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#ae88b1fca3d96c82959449d692fa595c9">InputParameter</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#affed85d1124960e7a5384a094298930e">inputParameter</a>; }</div><div class="line"><a name="l00098"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#a002199dce3810f84d834b7e56966c8bc"> 98</a></span>&#160; InputDataType&amp; <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a002199dce3810f84d834b7e56966c8bc">InputParameter</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#affed85d1124960e7a5384a094298930e">inputParameter</a>; }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#a6cc3f85998116ca5ee070e13a21f14b8"> 101</a></span>&#160; OutputDataType <span class="keyword">const</span>&amp; <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a6cc3f85998116ca5ee070e13a21f14b8">OutputParameter</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a623a5ea7221ac8c8e7a93202dca2d3ec">outputParameter</a>; }</div><div class="line"><a name="l00103"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#a26212ff1e716685aadaac3c9940d618d"> 103</a></span>&#160; OutputDataType&amp; <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a26212ff1e716685aadaac3c9940d618d">OutputParameter</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a623a5ea7221ac8c8e7a93202dca2d3ec">outputParameter</a>; }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;</div><div class="line"><a name="l00106"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#a5dc2b5f635afe8b76f37575c0f256ff9"> 106</a></span>&#160; OutputDataType <span class="keyword">const</span>&amp; <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a5dc2b5f635afe8b76f37575c0f256ff9">Delta</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#ab4eb46ebe079701936c96b33a021867c">delta</a>; }</div><div class="line"><a name="l00108"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#a06275de953f619f8afb9eba03d07c9a3"> 108</a></span>&#160; OutputDataType&amp; <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a06275de953f619f8afb9eba03d07c9a3">Delta</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#ab4eb46ebe079701936c96b33a021867c">delta</a>; }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#a951be111b4ede2df8928c1109a7c7a44"> 111</a></span>&#160; OutputDataType <span class="keyword">const</span>&amp; <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a951be111b4ede2df8928c1109a7c7a44">Gradient</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a0886025ec27c5e1589cfa4b1eb997460">gradient</a>; }</div><div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#a81f6286e7f59f297e0f08759d1bdd118"> 113</a></span>&#160; OutputDataType&amp; <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a81f6286e7f59f297e0f08759d1bdd118">Gradient</a>() { <span class="keywordflow">return</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a0886025ec27c5e1589cfa4b1eb997460">gradient</a>; }</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="keyword">template</span>&lt;<span class="keyword">typename</span> Archive&gt;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a95c104ae27075d43352bcc57891f7133">Serialize</a>(Archive&amp; ar, <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <span class="comment">/* version */</span>);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keyword">private</span>:</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;</div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#a7cb52932b4acd6e12ecddad9e244b0d2"> 124</a></span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a7cb52932b4acd6e12ecddad9e244b0d2">inSize</a>;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#a3490cfba08d0a3158203622b05777cc0"> 127</a></span>&#160; <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a3490cfba08d0a3158203622b05777cc0">outSize</a>;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160;</div><div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#a1136b7c629db6bf44ff70d7f34f9d581"> 130</a></span>&#160; OutputDataType <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a1136b7c629db6bf44ff70d7f34f9d581">weights</a>;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#a345109b4d754e179b6eb6e956a05c2e5"> 133</a></span>&#160; OutputDataType <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a345109b4d754e179b6eb6e956a05c2e5">weight</a>;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160;</div><div class="line"><a name="l00136"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#ab4eb46ebe079701936c96b33a021867c"> 136</a></span>&#160; OutputDataType <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#ab4eb46ebe079701936c96b33a021867c">delta</a>;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#a0886025ec27c5e1589cfa4b1eb997460"> 139</a></span>&#160; OutputDataType <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a0886025ec27c5e1589cfa4b1eb997460">gradient</a>;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#affed85d1124960e7a5384a094298930e"> 142</a></span>&#160; InputDataType <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#affed85d1124960e7a5384a094298930e">inputParameter</a>;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1LinearNoBias.html#a623a5ea7221ac8c8e7a93202dca2d3ec"> 145</a></span>&#160; OutputDataType <a class="code" href="classmlpack_1_1ann_1_1LinearNoBias.html#a623a5ea7221ac8c8e7a93202dca2d3ec">outputParameter</a>;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;}; <span class="comment">// class LinearNoBias</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160;} <span class="comment">// namespace ann</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;} <span class="comment">// namespace mlpack</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;<span class="comment">// Include implementation.</span></div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160;<span class="preprocessor">#include &quot;linear_no_bias_impl.hpp&quot;</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;<span class="preprocessor">#endif</span></div><div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_ab4eb46ebe079701936c96b33a021867c"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#ab4eb46ebe079701936c96b33a021867c">mlpack::ann::LinearNoBias::delta</a></div><div class="ttdeci">OutputDataType delta</div><div class="ttdoc">Locally-stored delta object. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00136">linear_no_bias.hpp:136</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_a5dc2b5f635afe8b76f37575c0f256ff9"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#a5dc2b5f635afe8b76f37575c0f256ff9">mlpack::ann::LinearNoBias::Delta</a></div><div class="ttdeci">OutputDataType const &amp; Delta() const </div><div class="ttdoc">Get the delta. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00106">linear_no_bias.hpp:106</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_a06275de953f619f8afb9eba03d07c9a3"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#a06275de953f619f8afb9eba03d07c9a3">mlpack::ann::LinearNoBias::Delta</a></div><div class="ttdeci">OutputDataType &amp; Delta()</div><div class="ttdoc">Modify the delta. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00108">linear_no_bias.hpp:108</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_a002199dce3810f84d834b7e56966c8bc"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#a002199dce3810f84d834b7e56966c8bc">mlpack::ann::LinearNoBias::InputParameter</a></div><div class="ttdeci">InputDataType &amp; InputParameter()</div><div class="ttdoc">Modify the input parameter. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00098">linear_no_bias.hpp:98</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_a81f6286e7f59f297e0f08759d1bdd118"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#a81f6286e7f59f297e0f08759d1bdd118">mlpack::ann::LinearNoBias::Gradient</a></div><div class="ttdeci">OutputDataType &amp; Gradient()</div><div class="ttdoc">Modify the gradient. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00113">linear_no_bias.hpp:113</a></div></div>
<div class="ttc" id="namespacemlpack_html"><div class="ttname"><a href="namespacemlpack.html">mlpack</a></div><div class="ttdoc">Linear algebra utility functions, generally performed on matrices or vectors. </div><div class="ttdef"><b>Definition:</b> <a href="binarize_8hpp_source.html#l00018">binarize.hpp:18</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_a1136b7c629db6bf44ff70d7f34f9d581"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#a1136b7c629db6bf44ff70d7f34f9d581">mlpack::ann::LinearNoBias::weights</a></div><div class="ttdeci">OutputDataType weights</div><div class="ttdoc">Locally-stored weight object. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00130">linear_no_bias.hpp:130</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_a7cb52932b4acd6e12ecddad9e244b0d2"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#a7cb52932b4acd6e12ecddad9e244b0d2">mlpack::ann::LinearNoBias::inSize</a></div><div class="ttdeci">size_t inSize</div><div class="ttdoc">Locally-stored number of input units. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00124">linear_no_bias.hpp:124</a></div></div>
<div class="ttc" id="prereqs_8hpp_html"><div class="ttname"><a href="prereqs_8hpp.html">prereqs.hpp</a></div><div class="ttdoc">The core includes that mlpack expects; standard C++ includes and Armadillo. </div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_affed85d1124960e7a5384a094298930e"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#affed85d1124960e7a5384a094298930e">mlpack::ann::LinearNoBias::inputParameter</a></div><div class="ttdeci">InputDataType inputParameter</div><div class="ttdoc">Locally-stored input parameter object. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00142">linear_no_bias.hpp:142</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_ae70ba5ca75a6b3474e0cc493581bdbb9"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#ae70ba5ca75a6b3474e0cc493581bdbb9">mlpack::ann::LinearNoBias::Backward</a></div><div class="ttdeci">void Backward(const arma::Mat&lt; eT &gt; &amp;&amp;, arma::Mat&lt; eT &gt; &amp;&amp;gy, arma::Mat&lt; eT &gt; &amp;&amp;g)</div><div class="ttdoc">Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backw...</div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_a345109b4d754e179b6eb6e956a05c2e5"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#a345109b4d754e179b6eb6e956a05c2e5">mlpack::ann::LinearNoBias::weight</a></div><div class="ttdeci">OutputDataType weight</div><div class="ttdoc">Locally-stored weight parameter. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00133">linear_no_bias.hpp:133</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_a951be111b4ede2df8928c1109a7c7a44"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#a951be111b4ede2df8928c1109a7c7a44">mlpack::ann::LinearNoBias::Gradient</a></div><div class="ttdeci">OutputDataType const &amp; Gradient() const </div><div class="ttdoc">Get the gradient. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00111">linear_no_bias.hpp:111</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_ac8e9375fb9a5d9f333f721f85f882ae1"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#ac8e9375fb9a5d9f333f721f85f882ae1">mlpack::ann::LinearNoBias::Parameters</a></div><div class="ttdeci">OutputDataType &amp; Parameters()</div><div class="ttdoc">Modify the parameters. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00093">linear_no_bias.hpp:93</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_aff9e4a1fd72063c29030e3ad21a3d93b"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#aff9e4a1fd72063c29030e3ad21a3d93b">mlpack::ann::LinearNoBias::LinearNoBias</a></div><div class="ttdeci">LinearNoBias()</div><div class="ttdoc">Create the LinearNoBias object. </div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_a61d847816547e978b14731b56e472e43"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#a61d847816547e978b14731b56e472e43">mlpack::ann::LinearNoBias::Forward</a></div><div class="ttdeci">void Forward(const arma::Mat&lt; eT &gt; &amp;&amp;input, arma::Mat&lt; eT &gt; &amp;&amp;output)</div><div class="ttdoc">Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activ...</div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_a0886025ec27c5e1589cfa4b1eb997460"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#a0886025ec27c5e1589cfa4b1eb997460">mlpack::ann::LinearNoBias::gradient</a></div><div class="ttdeci">OutputDataType gradient</div><div class="ttdoc">Locally-stored gradient object. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00139">linear_no_bias.hpp:139</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_a6cc3f85998116ca5ee070e13a21f14b8"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#a6cc3f85998116ca5ee070e13a21f14b8">mlpack::ann::LinearNoBias::OutputParameter</a></div><div class="ttdeci">OutputDataType const &amp; OutputParameter() const </div><div class="ttdoc">Get the output parameter. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00101">linear_no_bias.hpp:101</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_ae88b1fca3d96c82959449d692fa595c9"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#ae88b1fca3d96c82959449d692fa595c9">mlpack::ann::LinearNoBias::InputParameter</a></div><div class="ttdeci">InputDataType const &amp; InputParameter() const </div><div class="ttdoc">Get the input parameter. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00096">linear_no_bias.hpp:96</a></div></div>
<div class="ttc" id="layer__types_8hpp_html"><div class="ttname"><a href="layer__types_8hpp.html">layer_types.hpp</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_a623a5ea7221ac8c8e7a93202dca2d3ec"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#a623a5ea7221ac8c8e7a93202dca2d3ec">mlpack::ann::LinearNoBias::outputParameter</a></div><div class="ttdeci">OutputDataType outputParameter</div><div class="ttdoc">Locally-stored output parameter object. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00145">linear_no_bias.hpp:145</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_a26212ff1e716685aadaac3c9940d618d"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#a26212ff1e716685aadaac3c9940d618d">mlpack::ann::LinearNoBias::OutputParameter</a></div><div class="ttdeci">OutputDataType &amp; OutputParameter()</div><div class="ttdoc">Modify the output parameter. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00103">linear_no_bias.hpp:103</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_a3490cfba08d0a3158203622b05777cc0"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#a3490cfba08d0a3158203622b05777cc0">mlpack::ann::LinearNoBias::outSize</a></div><div class="ttdeci">size_t outSize</div><div class="ttdoc">Locally-stored number of output units. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00127">linear_no_bias.hpp:127</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_ac47edbd080895802e27b959de04d7496"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#ac47edbd080895802e27b959de04d7496">mlpack::ann::LinearNoBias::Parameters</a></div><div class="ttdeci">OutputDataType const &amp; Parameters() const </div><div class="ttdoc">Get the parameters. </div><div class="ttdef"><b>Definition:</b> <a href="linear__no__bias_8hpp_source.html#l00091">linear_no_bias.hpp:91</a></div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_abb95f813a32402b1b7ef2b47174b71da"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#abb95f813a32402b1b7ef2b47174b71da">mlpack::ann::LinearNoBias::Reset</a></div><div class="ttdeci">void Reset()</div></div>
<div class="ttc" id="classmlpack_1_1ann_1_1LinearNoBias_html_a95c104ae27075d43352bcc57891f7133"><div class="ttname"><a href="classmlpack_1_1ann_1_1LinearNoBias.html#a95c104ae27075d43352bcc57891f7133">mlpack::ann::LinearNoBias::Serialize</a></div><div class="ttdeci">void Serialize(Archive &amp;ar, const unsigned int)</div><div class="ttdoc">Serialize the layer. </div></div>
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