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<div class="title">nguyen_widrow_init.hpp</div> </div>
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<a href="nguyen__widrow__init_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="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#ifndef MLPACK_METHODS_ANN_INIT_RULES_NGUYEN_WIDROW_INIT_HPP</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#define MLPACK_METHODS_ANN_INIT_RULES_NGUYEN_WIDROW_INIT_HPP</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="preprocessor">#include <<a class="code" href="prereqs_8hpp.html">mlpack/prereqs.hpp</a>></span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="ann_2init__rules_2random__init_8hpp.html">random_init.hpp</a>"</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="keyword">namespace </span><a class="code" href="namespacemlpack.html">mlpack</a> {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace </span>ann {</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html"> 52</a></span> <span class="keyword">class </span><a class="code" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html">NguyenWidrowInitialization</a></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> {</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">public</span>:</div><div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#af76d5378c4df05c4a931cdfbdbaab9d2"> 62</a></span>  <a class="code" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#af76d5378c4df05c4a931cdfbdbaab9d2">NguyenWidrowInitialization</a>(<span class="keyword">const</span> <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a60ae790db77596a962215c629edaaff5">lowerBound</a> = -0.5,</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a87d667d5f25c0a6c7fc495573cbfb242">upperBound</a> = 0.5) :</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a60ae790db77596a962215c629edaaff5">lowerBound</a>(<a class="code" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a60ae790db77596a962215c629edaaff5">lowerBound</a>), <a class="code" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a87d667d5f25c0a6c7fc495573cbfb242">upperBound</a>(<a class="code" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a87d667d5f25c0a6c7fc495573cbfb242">upperBound</a>) { }</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">template</span><<span class="keyword">typename</span> eT></div><div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#af2e199dbc60e1dc4961d52b61d4ec7f1"> 75</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#af2e199dbc60e1dc4961d52b61d4ec7f1">Initialize</a>(arma::Mat<eT>& W, <span class="keyword">const</span> <span class="keywordtype">size_t</span> rows, <span class="keyword">const</span> <span class="keywordtype">size_t</span> cols)</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="classmlpack_1_1ann_1_1RandomInitialization.html">RandomInitialization</a> randomInit(<a class="code" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a60ae790db77596a962215c629edaaff5">lowerBound</a>, <a class="code" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a87d667d5f25c0a6c7fc495573cbfb242">upperBound</a>);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  randomInit.<a class="code" href="classmlpack_1_1ann_1_1RandomInitialization.html#a80d8b73d04b33ce114cfb4663831747c">Initialize</a>(W, rows, cols);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordtype">double</span> beta = 0.7 * std::pow(cols, 1 / rows);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  W *= (beta / arma::norm(W));</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  }</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keyword">template</span><<span class="keyword">typename</span> eT></div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a8d15875cc74467c7022440a5528219cb"> 94</a></span>  <span class="keywordtype">void</span> <a class="code" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a8d15875cc74467c7022440a5528219cb">Initialize</a>(arma::Cube<eT>& W,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> rows,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> cols,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> slices)</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  {</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  W = arma::Cube<eT>(rows, cols, slices);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < slices; i++)</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#af2e199dbc60e1dc4961d52b61d4ec7f1">Initialize</a>(W.slice(i), rows, cols);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keyword">private</span>:</div><div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a60ae790db77596a962215c629edaaff5"> 107</a></span>  <span class="keyword">const</span> <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a60ae790db77596a962215c629edaaff5">lowerBound</a>;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a87d667d5f25c0a6c7fc495573cbfb242"> 110</a></span>  <span class="keyword">const</span> <span class="keywordtype">double</span> <a class="code" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a87d667d5f25c0a6c7fc495573cbfb242">upperBound</a>;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> }; <span class="comment">// class NguyenWidrowInitialization</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> } <span class="comment">// namespace ann</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> } <span class="comment">// namespace mlpack</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="preprocessor">#endif</span></div><div class="ttc" id="ann_2init__rules_2random__init_8hpp_html"><div class="ttname"><a href="ann_2init__rules_2random__init_8hpp.html">random_init.hpp</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_1NguyenWidrowInitialization_html_a60ae790db77596a962215c629edaaff5"><div class="ttname"><a href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a60ae790db77596a962215c629edaaff5">mlpack::ann::NguyenWidrowInitialization::lowerBound</a></div><div class="ttdeci">const double lowerBound</div><div class="ttdoc">The number used as lower bound. </div><div class="ttdef"><b>Definition:</b> <a href="nguyen__widrow__init_8hpp_source.html#l00107">nguyen_widrow_init.hpp:107</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1NguyenWidrowInitialization_html_af2e199dbc60e1dc4961d52b61d4ec7f1"><div class="ttname"><a href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#af2e199dbc60e1dc4961d52b61d4ec7f1">mlpack::ann::NguyenWidrowInitialization::Initialize</a></div><div class="ttdeci">void Initialize(arma::Mat< eT > &W, const size_t rows, const size_t cols)</div><div class="ttdoc">Initialize the elements of the specified weight matrix with the Nguyen-Widrow method. </div><div class="ttdef"><b>Definition:</b> <a href="nguyen__widrow__init_8hpp_source.html#l00075">nguyen_widrow_init.hpp:75</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1RandomInitialization_html"><div class="ttname"><a href="classmlpack_1_1ann_1_1RandomInitialization.html">mlpack::ann::RandomInitialization</a></div><div class="ttdoc">This class is used to initialize randomly the weight matrix. </div><div class="ttdef"><b>Definition:</b> <a href="ann_2init__rules_2random__init_8hpp_source.html#l00024">random_init.hpp:24</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_1NguyenWidrowInitialization_html_a87d667d5f25c0a6c7fc495573cbfb242"><div class="ttname"><a href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a87d667d5f25c0a6c7fc495573cbfb242">mlpack::ann::NguyenWidrowInitialization::upperBound</a></div><div class="ttdeci">const double upperBound</div><div class="ttdoc">The number used as upper bound. </div><div class="ttdef"><b>Definition:</b> <a href="nguyen__widrow__init_8hpp_source.html#l00110">nguyen_widrow_init.hpp:110</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1NguyenWidrowInitialization_html_af76d5378c4df05c4a931cdfbdbaab9d2"><div class="ttname"><a href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#af76d5378c4df05c4a931cdfbdbaab9d2">mlpack::ann::NguyenWidrowInitialization::NguyenWidrowInitialization</a></div><div class="ttdeci">NguyenWidrowInitialization(const double lowerBound=-0.5, const double upperBound=0.5)</div><div class="ttdoc">Initialize the random initialization rule with the given lower bound and upper bound. </div><div class="ttdef"><b>Definition:</b> <a href="nguyen__widrow__init_8hpp_source.html#l00062">nguyen_widrow_init.hpp:62</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1NguyenWidrowInitialization_html"><div class="ttname"><a href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html">mlpack::ann::NguyenWidrowInitialization</a></div><div class="ttdoc">This class is used to initialize the weight matrix with the Nguyen-Widrow method. ...</div><div class="ttdef"><b>Definition:</b> <a href="nguyen__widrow__init_8hpp_source.html#l00052">nguyen_widrow_init.hpp:52</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1NguyenWidrowInitialization_html_a8d15875cc74467c7022440a5528219cb"><div class="ttname"><a href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a8d15875cc74467c7022440a5528219cb">mlpack::ann::NguyenWidrowInitialization::Initialize</a></div><div class="ttdeci">void Initialize(arma::Cube< eT > &W, const size_t rows, const size_t cols, const size_t slices)</div><div class="ttdoc">Initialize the elements of the specified weight 3rd order tensor with the Nguyen-Widrow method...</div><div class="ttdef"><b>Definition:</b> <a href="nguyen__widrow__init_8hpp_source.html#l00094">nguyen_widrow_init.hpp:94</a></div></div>
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<div class="ttc" id="classmlpack_1_1ann_1_1RandomInitialization_html_a80d8b73d04b33ce114cfb4663831747c"><div class="ttname"><a href="classmlpack_1_1ann_1_1RandomInitialization.html#a80d8b73d04b33ce114cfb4663831747c">mlpack::ann::RandomInitialization::Initialize</a></div><div class="ttdeci">void Initialize(arma::Mat< eT > &W, const size_t rows, const size_t cols)</div><div class="ttdoc">Initialize randomly the elements of the specified weight matrix. </div><div class="ttdef"><b>Definition:</b> <a href="ann_2init__rules_2random__init_8hpp_source.html#l00056">random_init.hpp:56</a></div></div>
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