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<div class="title">glimpse.hpp</div> </div>
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<a href="glimpse_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> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#ifndef MLPACK_METHODS_ANN_LAYER_GLIMPSE_HPP</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#define MLPACK_METHODS_ANN_LAYER_GLIMPSE_HPP</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include <<a class="code" href="prereqs_8hpp.html">mlpack/prereqs.hpp</a>></span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="layer__types_8hpp.html">layer_types.hpp</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <algorithm></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">namespace </span><a class="code" href="namespacemlpack.html">mlpack</a> {</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">namespace </span>ann {</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment">/*</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"> * The mean pooling rule for convolution neural networks. Average all values</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment"> * within the receptive block.</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"> */</span></div><div class="line"><a name="l00037"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1MeanPoolingRule.html"> 37</a></span> <span class="keyword">class </span><a class="code" href="classmlpack_1_1ann_1_1MeanPoolingRule.html">MeanPoolingRule</a></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="comment">/*</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment"> * Return the average value within the receptive block.</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"> *</span></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment"> * @param input Input used to perform the pooling operation.</span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"> */</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">template</span><<span class="keyword">typename</span> MatType></div><div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1MeanPoolingRule.html#a30281d754ab96d64e4ab1e176fd5604c"> 46</a></span>  <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1ann_1_1MeanPoolingRule.html#a30281d754ab96d64e4ab1e176fd5604c">Pooling</a>(<span class="keyword">const</span> MatType& input)</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">return</span> arma::mean(arma::mean(input));</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  }</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="comment">/*</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> * Set the average value within the receptive block.</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> *</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> * @param input Input used to perform the pooling operation.</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment"> * @param value The unpooled value.</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment"> * @param output The unpooled output data.</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment"> */</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">template</span><<span class="keyword">typename</span> MatType></div><div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1MeanPoolingRule.html#a6b1e4b7019548e428f4063c33873e0b6"> 59</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1MeanPoolingRule.html#a6b1e4b7019548e428f4063c33873e0b6">Unpooling</a>(<span class="keyword">const</span> MatType& input, <span class="keyword">const</span> <span class="keywordtype">double</span> value, MatType& output)</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  output = arma::zeros<MatType>(input.n_rows, input.n_cols);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> mean = arma::mean(arma::mean(input));</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  output.elem(arma::find(mean == input, 1)).fill(value);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  }</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> };</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="keyword">template</span> <</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">typename</span> InputDataType = arma::mat,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">typename</span> OutputDataType = arma::mat</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> ></div><div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html"> 82</a></span> <span class="keyword">class </span><a class="code" href="classmlpack_1_1ann_1_1Glimpse.html">Glimpse</a></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html">Glimpse</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> inSize,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> size,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> depth = 3,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> scale = 2,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> inputWidth = 0,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> inputHeight = 0);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keyword">template</span><<span class="keyword">typename</span> eT></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordtype">void</span> Forward(<span class="keyword">const</span> arma::Mat<eT>&& input, arma::Mat<eT>&& output);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keyword">template</span><<span class="keyword">typename</span> eT></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordtype">void</span> Backward(<span class="keyword">const</span> arma::Mat<eT>&& <span class="comment">/* input */</span>,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  arma::Mat<eT>&& gy,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  arma::Mat<eT>&& g);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a03b88a0f0e40cadbc0f68213d83b64ab"> 127</a></span>  InputDataType& <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a03b88a0f0e40cadbc0f68213d83b64ab">InputParameter</a>()<span class="keyword"> const </span>{<span class="keywordflow">return</span> inputParameter; }</div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#aacce3161fd92585a51f5e2ecc665ad84"> 129</a></span>  InputDataType& <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#aacce3161fd92585a51f5e2ecc665ad84">InputParameter</a>() { <span class="keywordflow">return</span> inputParameter; }</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a858db49d29d07762fd320bc940bc480a"> 132</a></span>  OutputDataType& <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a858db49d29d07762fd320bc940bc480a">OutputParameter</a>()<span class="keyword"> const </span>{<span class="keywordflow">return</span> outputParameter; }</div><div class="line"><a name="l00134"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a8f8ec57b2fe8ee9b13a6e018ed32ef5b"> 134</a></span>  OutputDataType& <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a8f8ec57b2fe8ee9b13a6e018ed32ef5b">OutputParameter</a>() { <span class="keywordflow">return</span> outputParameter; }</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00137"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a945e617a21a3e59e2e0cf5aed25f5545"> 137</a></span>  OutputDataType& <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a945e617a21a3e59e2e0cf5aed25f5545">Delta</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> delta; }</div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a9f1a330a1283b0da611782f651a95cf3"> 139</a></span>  OutputDataType& <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a9f1a330a1283b0da611782f651a95cf3">Delta</a>() { <span class="keywordflow">return</span> delta; }</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00143"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#ac3d7b1328a5af0139e43b1631214abf8"> 143</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#ac3d7b1328a5af0139e43b1631214abf8">Location</a>(<span class="keyword">const</span> arma::mat& location)</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  {</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  this->location = location;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  }</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> </div><div class="line"><a name="l00149"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a0b1d00ad94d4cccacab4fa963bebe6bc"> 149</a></span>  <span class="keywordtype">size_t</span> <span class="keyword">const</span>& <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a0b1d00ad94d4cccacab4fa963bebe6bc">InputWidth</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> inputWidth; }</div><div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a956fdee308d6b7fbdf9c5db9a6f02b90"> 151</a></span>  <span class="keywordtype">size_t</span>& <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a956fdee308d6b7fbdf9c5db9a6f02b90">InputWidth</a>() { <span class="keywordflow">return</span> inputWidth; }</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div><div class="line"><a name="l00154"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a2d5d30df6ab97524de953438222644f4"> 154</a></span>  <span class="keywordtype">size_t</span> <span class="keyword">const</span>& <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a2d5d30df6ab97524de953438222644f4">InputHeight</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> inputHeight; }</div><div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a43e26556b30b9377550b4684960c9855"> 156</a></span>  <span class="keywordtype">size_t</span>& <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a43e26556b30b9377550b4684960c9855">InputHeight</a>() { <span class="keywordflow">return</span> inputHeight; }</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00159"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#aefc94c37f9d86851d2ecd20b4260637d"> 159</a></span>  <span class="keywordtype">size_t</span> <span class="keyword">const</span>& <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#aefc94c37f9d86851d2ecd20b4260637d">OutputWidth</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> outputWidth; }</div><div class="line"><a name="l00161"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a1c4b7db818799c96c9a65d8072c52e16"> 161</a></span>  <span class="keywordtype">size_t</span>& <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a1c4b7db818799c96c9a65d8072c52e16">OutputWidth</a>() { <span class="keywordflow">return</span> outputWidth; }</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> </div><div class="line"><a name="l00164"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a74fcba3769cec8bc857f0e9e9690a7da"> 164</a></span>  <span class="keywordtype">size_t</span> <span class="keyword">const</span>& <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a74fcba3769cec8bc857f0e9e9690a7da">OutputHeight</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> outputHeight; }</div><div class="line"><a name="l00166"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#ab0e520f0ef97f602f43b176741dcd73b"> 166</a></span>  <span class="keywordtype">size_t</span>& <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#ab0e520f0ef97f602f43b176741dcd73b">OutputHeight</a>() { <span class="keywordflow">return</span> outputHeight; }</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00169"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#aacdedb6f91abc2e3ab8121525f2be5dc"> 169</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#aacdedb6f91abc2e3ab8121525f2be5dc">Deterministic</a>()<span class="keyword"> const </span>{ <span class="keywordflow">return</span> deterministic; }</div><div class="line"><a name="l00171"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a55f3c8a5030a7ea813402033e90aba56"> 171</a></span>  <span class="keywordtype">bool</span>& <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a55f3c8a5030a7ea813402033e90aba56">Deterministic</a>() { <span class="keywordflow">return</span> deterministic; }</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Archive></div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordtype">void</span> Serialize(Archive& 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="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">/*</span></div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="comment"> * Transform the given input by changing rows to columns.</span></div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="comment"> *</span></div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> <span class="comment"> * @param w The input matrix used to perform the transformation.</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="comment"> */</span></div><div class="line"><a name="l00185"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a21dd5c7c0b39b76c06990a929363674c"> 185</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a21dd5c7c0b39b76c06990a929363674c">Transform</a>(arma::mat& w)</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  {</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  arma::mat t = w;</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0, k = 0; i < w.n_elem; k++)</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j < w.n_cols; j++, i++)</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  {</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  w(k, j) = t(i);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  }</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  }</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  }</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="comment">/*</span></div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> <span class="comment"> * Transform the given input by changing rows to columns.</span></div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> <span class="comment"> *</span></div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="comment"> * @param w The input matrix used to perform the transformation.</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <span class="comment"> */</span></div><div class="line"><a name="l00203"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#aab090deb125869e9e7355c668fda9757"> 203</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#aab090deb125869e9e7355c668fda9757">Transform</a>(arma::cube& w)</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  {</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < w.n_slices; i++)</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  {</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  arma::mat t = w.slice(i);</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  Transform(t);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  w.slice(i) = t;</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  }</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  }</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">template</span><<span class="keyword">typename</span> eT></div><div class="line"><a name="l00221"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#af7f24539a245b71dd0937305e25b5247"> 221</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#af7f24539a245b71dd0937305e25b5247">Pooling</a>(<span class="keyword">const</span> <span class="keywordtype">size_t</span> kSize,</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keyword">const</span> arma::Mat<eT>& input,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  arma::Mat<eT>& output)</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  {</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> rStep = kSize;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> cStep = kSize;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j < input.n_cols; j += cStep)</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  {</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < input.n_rows; i += rStep)</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  {</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  output(i / rStep, j / cStep) += pooling.Pooling(</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  input(arma::span(i, i + rStep - 1), arma::span(j, j + cStep - 1)));</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  }</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  }</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  }</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span> </div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keyword">template</span><<span class="keyword">typename</span> eT></div><div class="line"><a name="l00247"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a9ebac96736917cdeef0c6fa5f6b34061"> 247</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a9ebac96736917cdeef0c6fa5f6b34061">Unpooling</a>(<span class="keyword">const</span> arma::Mat<eT>& input,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keyword">const</span> arma::Mat<eT>& error,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  arma::Mat<eT>& output)</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  {</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> rStep = input.n_rows / error.n_rows;</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> cStep = input.n_cols / error.n_cols;</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  arma::Mat<eT> unpooledError;</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> j = 0; j < input.n_cols; j += cStep)</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  {</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < input.n_rows; i += rStep)</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  {</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keyword">const</span> arma::Mat<eT>& inputArea = input(arma::span(i, i + rStep - 1),</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  arma::span(j, j + cStep - 1));</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  pooling.Unpooling(inputArea, error(i / rStep, j / cStep),</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  unpooledError);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  output(arma::span(i, i + rStep - 1),</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  arma::span(j, j + cStep - 1)) += unpooledError;</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  }</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  }</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  }</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  <span class="keyword">template</span><<span class="keyword">typename</span> eT></div><div class="line"><a name="l00279"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a554a61c61c4a5e39ad404f3da054b3f3"> 279</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a554a61c61c4a5e39ad404f3da054b3f3">ReSampling</a>(<span class="keyword">const</span> arma::Mat<eT>& input, arma::Mat<eT>& output)</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  {</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordtype">double</span> wRatio = (double) (input.n_rows - 1) / (size - 1);</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keywordtype">double</span> hRatio = (double) (input.n_cols - 1) / (size - 1);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span> </div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordtype">double</span> iWidth = input.n_rows - 1;</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  <span class="keywordtype">double</span> iHeight = input.n_cols - 1;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> y = 0; y < size; y++)</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  {</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> x = 0; x < size; x++)</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  {</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordtype">double</span> ix = wRatio * x;</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordtype">double</span> iy = hRatio * y;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="comment">// Get the 4 nearest neighbors.</span></div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <span class="keywordtype">double</span> ixNw = std::floor(ix);</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keywordtype">double</span> iyNw = std::floor(iy);</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordtype">double</span> ixNe = ixNw + 1;</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordtype">double</span> iySw = iyNw + 1;</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span> </div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="comment">// Get surfaces to each neighbor.</span></div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordtype">double</span> se = (ix - ixNw) * (iy - iyNw);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  <span class="keywordtype">double</span> sw = (ixNe - ix) * (iy - iyNw);</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordtype">double</span> ne = (ix - ixNw) * (iySw - iy);</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordtype">double</span> nw = (ixNe - ix) * (iySw - iy);</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="comment">// Calculate the weighted sum.</span></div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  output(y, x) = input(iyNw, ixNw) * nw +</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  input(iyNw, std::min(ixNe, iWidth)) * ne +</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  input(std::min(iySw, iHeight), ixNw) * sw +</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  input(std::min(iySw, iHeight), std::min(ixNe, iWidth)) * se;</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  }</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  }</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  }</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> </div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keyword">template</span><<span class="keyword">typename</span> eT></div><div class="line"><a name="l00324"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a24719b3f88ef0a653cded89a07372b0a"> 324</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a24719b3f88ef0a653cded89a07372b0a">DownwardReSampling</a>(<span class="keyword">const</span> arma::Mat<eT>& input,</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keyword">const</span> arma::Mat<eT>& error,</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  arma::Mat<eT>& output)</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  {</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keywordtype">double</span> iWidth = input.n_rows - 1;</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keywordtype">double</span> iHeight = input.n_cols - 1;</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> </div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordtype">double</span> wRatio = iWidth / (size - 1);</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordtype">double</span> hRatio = iHeight / (size - 1);</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> </div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> y = 0; y < size; y++)</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  {</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> x = 0; x < size; x++)</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  {</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keywordtype">double</span> ix = wRatio * x;</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordtype">double</span> iy = hRatio * y;</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> </div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="comment">// Get the 4 nearest neighbors.</span></div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordtype">double</span> ixNw = std::floor(ix);</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordtype">double</span> iyNw = std::floor(iy);</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keywordtype">double</span> ixNe = ixNw + 1;</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordtype">double</span> iySw = iyNw + 1;</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> </div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="comment">// Get surfaces to each neighbor.</span></div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  <span class="keywordtype">double</span> se = (ix - ixNw) * (iy - iyNw);</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keywordtype">double</span> sw = (ixNe - ix) * (iy - iyNw);</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordtype">double</span> ne = (ix - ixNw) * (iySw - iy);</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordtype">double</span> nw = (ixNe - ix) * (iySw - iy);</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keywordtype">double</span> ograd = error(y, x);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  output(iyNw, ixNw) = output(iyNw, ixNw) + nw * ograd;</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  output(iyNw, std::min(ixNe, iWidth)) = output(iyNw,</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  std::min(ixNe, iWidth)) + ne * ograd;</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  output(std::min(iySw, iHeight), ixNw) = output(std::min(iySw, iHeight),</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  ixNw) + sw * ograd;</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  output(std::min(iySw, iHeight), std::min(ixNe, iWidth)) = output(</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  std::min(iySw, iHeight), std::min(ixNe, iWidth)) + se * ograd;</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  }</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  }</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  }</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> </div><div class="line"><a name="l00367"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a666ec45c18acab9935c3cbca425a5928"> 367</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a666ec45c18acab9935c3cbca425a5928">inSize</a>;</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> </div><div class="line"><a name="l00370"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#ab9c1eb391f5a355f198c4f399e25f1f3"> 370</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#ab9c1eb391f5a355f198c4f399e25f1f3">size</a>;</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span> </div><div class="line"><a name="l00373"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#af23ae3f10520fb5e604a0f20667a9e99"> 373</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#af23ae3f10520fb5e604a0f20667a9e99">depth</a>;</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span> </div><div class="line"><a name="l00376"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a7cb5eab998487e2ddb4140b3c3ae4be9"> 376</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a7cb5eab998487e2ddb4140b3c3ae4be9">scale</a>;</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span> </div><div class="line"><a name="l00379"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#ab73311e18413f0522eeb0f0e03ba6b8d"> 379</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#ab73311e18413f0522eeb0f0e03ba6b8d">inputWidth</a>;</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span> </div><div class="line"><a name="l00382"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a6a98b1b52646276f7044fca8fc557069"> 382</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a6a98b1b52646276f7044fca8fc557069">inputHeight</a>;</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> </div><div class="line"><a name="l00385"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#ae853c598559847e0e92f902239969e3e"> 385</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#ae853c598559847e0e92f902239969e3e">outputWidth</a>;</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span> </div><div class="line"><a name="l00388"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a4a25b4cd3590229cbe230359e158511d"> 388</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a4a25b4cd3590229cbe230359e158511d">outputHeight</a>;</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> </div><div class="line"><a name="l00391"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#abc368ebe96ecf96a398a5d4595ca36ed"> 391</a></span>  OutputDataType <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#abc368ebe96ecf96a398a5d4595ca36ed">delta</a>;</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div><div class="line"><a name="l00394"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#adbe47d5db96da49bab3e7cfbcd9140fe"> 394</a></span>  InputDataType <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#adbe47d5db96da49bab3e7cfbcd9140fe">inputParameter</a>;</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span> </div><div class="line"><a name="l00397"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a8303b4140c33371d5941b394944b19b3"> 397</a></span>  OutputDataType <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a8303b4140c33371d5941b394944b19b3">outputParameter</a>;</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00400"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a9bcb5f708f178a992d8ed1148c8d1c88"> 400</a></span>  <span class="keywordtype">size_t</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a9bcb5f708f178a992d8ed1148c8d1c88">inputDepth</a>;</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> </div><div class="line"><a name="l00403"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a3417d34049d922903da51f6e0e473c81"> 403</a></span>  arma::cube <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a3417d34049d922903da51f6e0e473c81">inputTemp</a>;</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div><div class="line"><a name="l00406"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a57418f7588307c036fa0642c174235f6"> 406</a></span>  arma::cube <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a57418f7588307c036fa0642c174235f6">outputTemp</a>;</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> </div><div class="line"><a name="l00409"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a11c718a6318ff7470ac84f25e47c28da"> 409</a></span>  arma::mat <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a11c718a6318ff7470ac84f25e47c28da">location</a>;</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span> </div><div class="line"><a name="l00412"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#aed172319995d65b61be45274a3826202"> 412</a></span>  <a class="code" href="classmlpack_1_1ann_1_1MeanPoolingRule.html">MeanPoolingRule</a> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#aed172319995d65b61be45274a3826202">pooling</a>;</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> </div><div class="line"><a name="l00415"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a47c0a75b6bc8bb0d0c54d90ba3b90fef"> 415</a></span>  std::vector<arma::mat> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a47c0a75b6bc8bb0d0c54d90ba3b90fef">locationParameter</a>;</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span> </div><div class="line"><a name="l00418"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#ad046e3afe15d43bab2401d81e04d082c"> 418</a></span>  arma::cube <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#ad046e3afe15d43bab2401d81e04d082c">gTemp</a>;</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div><div class="line"><a name="l00421"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1Glimpse.html#a4f4f4313b37a078ffa1207c9388cc7a0"> 421</a></span>  <span class="keywordtype">bool</span> <a class="code" href="classmlpack_1_1ann_1_1Glimpse.html#a4f4f4313b37a078ffa1207c9388cc7a0">deterministic</a>;</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> }; <span class="comment">// class GlimpseLayer</span></div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> </div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> } <span class="comment">// namespace ann</span></div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> } <span class="comment">// namespace mlpack</span></div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span> </div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span> <span class="comment">// Include implementation.</span></div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> <span class="preprocessor">#include "glimpse_impl.hpp"</span></div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> </div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span> <span class="preprocessor">#endif</span></div><div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a945e617a21a3e59e2e0cf5aed25f5545"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a945e617a21a3e59e2e0cf5aed25f5545">mlpack::ann::Glimpse::Delta</a></div><div class="ttdeci">OutputDataType & Delta() const </div><div class="ttdoc">Get the detla. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00137">glimpse.hpp:137</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_adbe47d5db96da49bab3e7cfbcd9140fe"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#adbe47d5db96da49bab3e7cfbcd9140fe">mlpack::ann::Glimpse::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="glimpse_8hpp_source.html#l00394">glimpse.hpp:394</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_aefc94c37f9d86851d2ecd20b4260637d"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#aefc94c37f9d86851d2ecd20b4260637d">mlpack::ann::Glimpse::OutputWidth</a></div><div class="ttdeci">size_t const & OutputWidth() const </div><div class="ttdoc">Get the output width. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00159">glimpse.hpp:159</a></div></div>
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<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>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a7cb5eab998487e2ddb4140b3c3ae4be9"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a7cb5eab998487e2ddb4140b3c3ae4be9">mlpack::ann::Glimpse::scale</a></div><div class="ttdeci">size_t scale</div><div class="ttdoc">The scale fraction. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00376">glimpse.hpp:376</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a9ebac96736917cdeef0c6fa5f6b34061"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a9ebac96736917cdeef0c6fa5f6b34061">mlpack::ann::Glimpse::Unpooling</a></div><div class="ttdeci">void Unpooling(const arma::Mat< eT > &input, const arma::Mat< eT > &error, arma::Mat< eT > &output)</div><div class="ttdoc">Apply unpooling to the input and store the results. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00247">glimpse.hpp:247</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a47c0a75b6bc8bb0d0c54d90ba3b90fef"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a47c0a75b6bc8bb0d0c54d90ba3b90fef">mlpack::ann::Glimpse::locationParameter</a></div><div class="ttdeci">std::vector< arma::mat > locationParameter</div><div class="ttdoc">Location-stored module location parameter. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00415">glimpse.hpp:415</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1MeanPoolingRule_html_a30281d754ab96d64e4ab1e176fd5604c"><div class="ttname"><a href="classmlpack_1_1ann_1_1MeanPoolingRule.html#a30281d754ab96d64e4ab1e176fd5604c">mlpack::ann::MeanPoolingRule::Pooling</a></div><div class="ttdeci">double Pooling(const MatType &input)</div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00046">glimpse.hpp:46</a></div></div>
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<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>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_af23ae3f10520fb5e604a0f20667a9e99"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#af23ae3f10520fb5e604a0f20667a9e99">mlpack::ann::Glimpse::depth</a></div><div class="ttdeci">size_t depth</div><div class="ttdoc">The number of patches to crop per glimpse. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00373">glimpse.hpp:373</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_ad046e3afe15d43bab2401d81e04d082c"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#ad046e3afe15d43bab2401d81e04d082c">mlpack::ann::Glimpse::gTemp</a></div><div class="ttdeci">arma::cube gTemp</div><div class="ttdoc">Location-stored transformed gradient paramter. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00418">glimpse.hpp:418</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_aacdedb6f91abc2e3ab8121525f2be5dc"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#aacdedb6f91abc2e3ab8121525f2be5dc">mlpack::ann::Glimpse::Deterministic</a></div><div class="ttdeci">bool Deterministic() const </div><div class="ttdoc">Get the value of the deterministic parameter. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00169">glimpse.hpp:169</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a11c718a6318ff7470ac84f25e47c28da"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a11c718a6318ff7470ac84f25e47c28da">mlpack::ann::Glimpse::location</a></div><div class="ttdeci">arma::mat location</div><div class="ttdoc">The x and y coordinate of the center of the output glimpse. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00409">glimpse.hpp:409</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a858db49d29d07762fd320bc940bc480a"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a858db49d29d07762fd320bc940bc480a">mlpack::ann::Glimpse::OutputParameter</a></div><div class="ttdeci">OutputDataType & OutputParameter() const </div><div class="ttdoc">Get the output parameter. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00132">glimpse.hpp:132</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_af7f24539a245b71dd0937305e25b5247"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#af7f24539a245b71dd0937305e25b5247">mlpack::ann::Glimpse::Pooling</a></div><div class="ttdeci">void Pooling(const size_t kSize, const arma::Mat< eT > &input, arma::Mat< eT > &output)</div><div class="ttdoc">Apply pooling to the input and store the results to the output parameter. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00221">glimpse.hpp:221</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a24719b3f88ef0a653cded89a07372b0a"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a24719b3f88ef0a653cded89a07372b0a">mlpack::ann::Glimpse::DownwardReSampling</a></div><div class="ttdeci">void DownwardReSampling(const arma::Mat< eT > &input, const arma::Mat< eT > &error, arma::Mat< eT > &output)</div><div class="ttdoc">Apply DownwardReSampling to the input and store the results into the output parameter. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00324">glimpse.hpp:324</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a6a98b1b52646276f7044fca8fc557069"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a6a98b1b52646276f7044fca8fc557069">mlpack::ann::Glimpse::inputHeight</a></div><div class="ttdeci">size_t inputHeight</div><div class="ttdoc">Locally-stored input height. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00382">glimpse.hpp:382</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a74fcba3769cec8bc857f0e9e9690a7da"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a74fcba3769cec8bc857f0e9e9690a7da">mlpack::ann::Glimpse::OutputHeight</a></div><div class="ttdeci">size_t const & OutputHeight() const </div><div class="ttdoc">Get the output height. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00164">glimpse.hpp:164</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a9bcb5f708f178a992d8ed1148c8d1c88"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a9bcb5f708f178a992d8ed1148c8d1c88">mlpack::ann::Glimpse::inputDepth</a></div><div class="ttdeci">size_t inputDepth</div><div class="ttdoc">Locally-stored depth of the input. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00400">glimpse.hpp:400</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_ab0e520f0ef97f602f43b176741dcd73b"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#ab0e520f0ef97f602f43b176741dcd73b">mlpack::ann::Glimpse::OutputHeight</a></div><div class="ttdeci">size_t & OutputHeight()</div><div class="ttdoc">Modify the output height. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00166">glimpse.hpp:166</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_ae853c598559847e0e92f902239969e3e"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#ae853c598559847e0e92f902239969e3e">mlpack::ann::Glimpse::outputWidth</a></div><div class="ttdeci">size_t outputWidth</div><div class="ttdoc">Locally-stored output width. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00385">glimpse.hpp:385</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_aacce3161fd92585a51f5e2ecc665ad84"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#aacce3161fd92585a51f5e2ecc665ad84">mlpack::ann::Glimpse::InputParameter</a></div><div class="ttdeci">InputDataType & InputParameter()</div><div class="ttdoc">Modify the input parameter. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00129">glimpse.hpp:129</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a956fdee308d6b7fbdf9c5db9a6f02b90"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a956fdee308d6b7fbdf9c5db9a6f02b90">mlpack::ann::Glimpse::InputWidth</a></div><div class="ttdeci">size_t & InputWidth()</div><div class="ttdoc">Modify input the width. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00151">glimpse.hpp:151</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_aab090deb125869e9e7355c668fda9757"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#aab090deb125869e9e7355c668fda9757">mlpack::ann::Glimpse::Transform</a></div><div class="ttdeci">void Transform(arma::cube &w)</div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00203">glimpse.hpp:203</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a55f3c8a5030a7ea813402033e90aba56"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a55f3c8a5030a7ea813402033e90aba56">mlpack::ann::Glimpse::Deterministic</a></div><div class="ttdeci">bool & Deterministic()</div><div class="ttdoc">Modify the value of the deterministic parameter. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00171">glimpse.hpp:171</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a21dd5c7c0b39b76c06990a929363674c"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a21dd5c7c0b39b76c06990a929363674c">mlpack::ann::Glimpse::Transform</a></div><div class="ttdeci">void Transform(arma::mat &w)</div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00185">glimpse.hpp:185</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_ac3d7b1328a5af0139e43b1631214abf8"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#ac3d7b1328a5af0139e43b1631214abf8">mlpack::ann::Glimpse::Location</a></div><div class="ttdeci">void Location(const arma::mat &location)</div><div class="ttdoc">Set the locationthe x and y coordinate of the center of the output glimpse. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00143">glimpse.hpp:143</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a9f1a330a1283b0da611782f651a95cf3"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a9f1a330a1283b0da611782f651a95cf3">mlpack::ann::Glimpse::Delta</a></div><div class="ttdeci">OutputDataType & Delta()</div><div class="ttdoc">Modify the delta. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00139">glimpse.hpp:139</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a2d5d30df6ab97524de953438222644f4"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a2d5d30df6ab97524de953438222644f4">mlpack::ann::Glimpse::InputHeight</a></div><div class="ttdeci">size_t const & InputHeight() const </div><div class="ttdoc">Get the input height. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00154">glimpse.hpp:154</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a666ec45c18acab9935c3cbca425a5928"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a666ec45c18acab9935c3cbca425a5928">mlpack::ann::Glimpse::inSize</a></div><div class="ttdeci">size_t inSize</div><div class="ttdoc">The size of the input units. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00367">glimpse.hpp:367</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a1c4b7db818799c96c9a65d8072c52e16"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a1c4b7db818799c96c9a65d8072c52e16">mlpack::ann::Glimpse::OutputWidth</a></div><div class="ttdeci">size_t & OutputWidth()</div><div class="ttdoc">Modify the output width. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00161">glimpse.hpp:161</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a57418f7588307c036fa0642c174235f6"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a57418f7588307c036fa0642c174235f6">mlpack::ann::Glimpse::outputTemp</a></div><div class="ttdeci">arma::cube outputTemp</div><div class="ttdoc">Locally-stored transformed output parameter. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00406">glimpse.hpp:406</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html">mlpack::ann::Glimpse</a></div><div class="ttdoc">The glimpse layer returns a retina-like representation (down-scaled cropped images) of increasing sca...</div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00082">glimpse.hpp:82</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_ab9c1eb391f5a355f198c4f399e25f1f3"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#ab9c1eb391f5a355f198c4f399e25f1f3">mlpack::ann::Glimpse::size</a></div><div class="ttdeci">size_t size</div><div class="ttdoc">The used glimpse size (height = width). </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00370">glimpse.hpp:370</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_aed172319995d65b61be45274a3826202"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#aed172319995d65b61be45274a3826202">mlpack::ann::Glimpse::pooling</a></div><div class="ttdeci">MeanPoolingRule pooling</div><div class="ttdoc">Locally-stored object to perform the mean pooling operation. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00412">glimpse.hpp:412</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a4f4f4313b37a078ffa1207c9388cc7a0"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a4f4f4313b37a078ffa1207c9388cc7a0">mlpack::ann::Glimpse::deterministic</a></div><div class="ttdeci">bool deterministic</div><div class="ttdoc">If true use maximum a posteriori during the forward pass. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00421">glimpse.hpp:421</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a3417d34049d922903da51f6e0e473c81"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a3417d34049d922903da51f6e0e473c81">mlpack::ann::Glimpse::inputTemp</a></div><div class="ttdeci">arma::cube inputTemp</div><div class="ttdoc">Locally-stored transformed input parameter. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00403">glimpse.hpp:403</a></div></div>
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<div class="ttc" id="layer__types_8hpp_html"><div class="ttname"><a href="layer__types_8hpp.html">layer_types.hpp</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1MeanPoolingRule_html_a6b1e4b7019548e428f4063c33873e0b6"><div class="ttname"><a href="classmlpack_1_1ann_1_1MeanPoolingRule.html#a6b1e4b7019548e428f4063c33873e0b6">mlpack::ann::MeanPoolingRule::Unpooling</a></div><div class="ttdeci">void Unpooling(const MatType &input, const double value, MatType &output)</div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00059">glimpse.hpp:59</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a43e26556b30b9377550b4684960c9855"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a43e26556b30b9377550b4684960c9855">mlpack::ann::Glimpse::InputHeight</a></div><div class="ttdeci">size_t & InputHeight()</div><div class="ttdoc">Modify the input height. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00156">glimpse.hpp:156</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a554a61c61c4a5e39ad404f3da054b3f3"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a554a61c61c4a5e39ad404f3da054b3f3">mlpack::ann::Glimpse::ReSampling</a></div><div class="ttdeci">void ReSampling(const arma::Mat< eT > &input, arma::Mat< eT > &output)</div><div class="ttdoc">Apply ReSampling to the input and store the results in the output parameter. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00279">glimpse.hpp:279</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a8f8ec57b2fe8ee9b13a6e018ed32ef5b"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a8f8ec57b2fe8ee9b13a6e018ed32ef5b">mlpack::ann::Glimpse::OutputParameter</a></div><div class="ttdeci">OutputDataType & OutputParameter()</div><div class="ttdoc">Modify the output parameter. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00134">glimpse.hpp:134</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a03b88a0f0e40cadbc0f68213d83b64ab"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a03b88a0f0e40cadbc0f68213d83b64ab">mlpack::ann::Glimpse::InputParameter</a></div><div class="ttdeci">InputDataType & InputParameter() const </div><div class="ttdoc">Get the input parameter. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00127">glimpse.hpp:127</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_ab73311e18413f0522eeb0f0e03ba6b8d"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#ab73311e18413f0522eeb0f0e03ba6b8d">mlpack::ann::Glimpse::inputWidth</a></div><div class="ttdeci">size_t inputWidth</div><div class="ttdoc">Locally-stored input width. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00379">glimpse.hpp:379</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1MeanPoolingRule_html"><div class="ttname"><a href="classmlpack_1_1ann_1_1MeanPoolingRule.html">mlpack::ann::MeanPoolingRule</a></div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00037">glimpse.hpp:37</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a4a25b4cd3590229cbe230359e158511d"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a4a25b4cd3590229cbe230359e158511d">mlpack::ann::Glimpse::outputHeight</a></div><div class="ttdeci">size_t outputHeight</div><div class="ttdoc">Locally-stored output height. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00388">glimpse.hpp:388</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_abc368ebe96ecf96a398a5d4595ca36ed"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#abc368ebe96ecf96a398a5d4595ca36ed">mlpack::ann::Glimpse::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="glimpse_8hpp_source.html#l00391">glimpse.hpp:391</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a8303b4140c33371d5941b394944b19b3"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a8303b4140c33371d5941b394944b19b3">mlpack::ann::Glimpse::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="glimpse_8hpp_source.html#l00397">glimpse.hpp:397</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1Glimpse_html_a0b1d00ad94d4cccacab4fa963bebe6bc"><div class="ttname"><a href="classmlpack_1_1ann_1_1Glimpse.html#a0b1d00ad94d4cccacab4fa963bebe6bc">mlpack::ann::Glimpse::InputWidth</a></div><div class="ttdeci">size_t const & InputWidth() const </div><div class="ttdoc">Get the input width. </div><div class="ttdef"><b>Definition:</b> <a href="glimpse_8hpp_source.html#l00149">glimpse.hpp:149</a></div></div>
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