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  8. <title>Deep network: Class Members</title>
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  33. <tr id="projectrow">
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  35. <div id="projectname">Deep network
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  88. </div>
  89. <div class="contents">
  90. <div class="textblock">Here is a list of all class members with links to the classes they belong to:</div>
  91. <h3><a id="index_a" name="index_a"></a>- a -</h3><ul>
  92. <li>a&#160;:&#160;<a class="el" href="class_network.html#ad71ea0a71fa28c4510e42fb809846404">Network</a></li>
  93. <li>ActivationLayer()&#160;:&#160;<a class="el" href="class_layer_1_1_activation_layer.html#a6999fec429ab7f6eafc9ebd5a42a8f76">Layer::ActivationLayer&lt; A &gt;</a></li>
  94. </ul>
  95. <h3><a id="index_b" name="index_b"></a>- b -</h3><ul>
  96. <li>b&#160;:&#160;<a class="el" href="class_layer_1_1_full_connected_layer.html#a3d4deed201f2b7f49ec675768d504da6">Layer::FullConnectedLayer</a></li>
  97. <li>back_propagation()&#160;:&#160;<a class="el" href="class_layer_1_1_activation_layer.html#aa946acde267d94523d12465ca8976ab9">Layer::ActivationLayer&lt; A &gt;</a>, <a class="el" href="class_layer_1_1_convolution_layer.html#a5ccdf83a1217d57678c8bedcecc43a2a">Layer::ConvolutionLayer</a>, <a class="el" href="class_layer_1_1_full_connected_layer.html#a60219f302828bdf5ae4206b9a346627f">Layer::FullConnectedLayer</a>, <a class="el" href="class_layer_1_1_layer.html#ad9e2853fce56b014b1e9de5097e21dbd">Layer::Layer</a>, <a class="el" href="class_layer_1_1_pooling.html#a3dc9bb1a69d3d7c2f627da9d2b737ac2">Layer::Pooling</a>, <a class="el" href="class_network.html#a6c324cab761fdff1c614305a6544a311">Network</a></li>
  98. </ul>
  99. <h3><a id="index_c" name="index_c"></a>- c -</h3><ul>
  100. <li>C&#160;:&#160;<a class="el" href="class_network.html#abf80a2387544fb826f11ab922b857d50">Network</a></li>
  101. <li>compute_last_delta()&#160;:&#160;<a class="el" href="class_network.html#a7256dd4fca14fcf9373591ea1a1b42d6">Network</a></li>
  102. <li>ConvolutionLayer()&#160;:&#160;<a class="el" href="class_layer_1_1_convolution_layer.html#a7d76977d90ca11bd1d36dbade396f1c6">Layer::ConvolutionLayer</a></li>
  103. </ul>
  104. <h3><a id="index_d" name="index_d"></a>- d -</h3><ul>
  105. <li>d&#160;:&#160;<a class="el" href="class_layer_1_1_layer.html#affe7f5de8693b4af67765a9286686d82">Layer::Layer</a></li>
  106. <li>Dataset()&#160;:&#160;<a class="el" href="class_dataset.html#a2ef0a4a688a218d55ef061c6df659a4a">Dataset</a></li>
  107. </ul>
  108. <h3><a id="index_e" name="index_e"></a>- e -</h3><ul>
  109. <li>eval()&#160;:&#160;<a class="el" href="class_network.html#a08f9864a68e23b74c1c212c67ca70ed4">Network</a></li>
  110. </ul>
  111. <h3><a id="index_f" name="index_f"></a>- f -</h3><ul>
  112. <li>feed_forward()&#160;:&#160;<a class="el" href="class_layer_1_1_activation_layer.html#a9bc3eb83733b4ee5a4a3c5c50e794478">Layer::ActivationLayer&lt; A &gt;</a>, <a class="el" href="class_layer_1_1_convolution_layer.html#a8315ef1016d165f8986fb3d4c2b65276">Layer::ConvolutionLayer</a>, <a class="el" href="class_layer_1_1_full_connected_layer.html#aea3b894c5efa65676c877c48a66b65cd">Layer::FullConnectedLayer</a>, <a class="el" href="class_layer_1_1_layer.html#aeb5b92a01bc4e867d347bff4767e919f">Layer::Layer</a>, <a class="el" href="class_layer_1_1_pooling.html#a91e5d2cfd897d0f196de969909c92afc">Layer::Pooling</a>, <a class="el" href="class_network.html#ab4a53f3e2d5c1033e9b2314826acf821">Network</a></li>
  113. <li>FullConnectedLayer()&#160;:&#160;<a class="el" href="class_layer_1_1_full_connected_layer.html#a265e6c89b93732e39aba1217de621302">Layer::FullConnectedLayer</a></li>
  114. </ul>
  115. <h3><a id="index_g" name="index_g"></a>- g -</h3><ul>
  116. <li>get_input_size()&#160;:&#160;<a class="el" href="class_layer_1_1_layer.html#a8db0801eb0439cd0a0004f3787d512f3">Layer::Layer</a></li>
  117. <li>get_output()&#160;:&#160;<a class="el" href="class_layer_1_1_layer.html#a5c9d2349c49234c1d29cdacd046788fa">Layer::Layer</a></li>
  118. <li>get_output_size()&#160;:&#160;<a class="el" href="class_layer_1_1_layer.html#afe6a48cc987b246fc470082ffe58d932">Layer::Layer</a></li>
  119. <li>get_test()&#160;:&#160;<a class="el" href="class_dataset.html#a05408d54a3e72a15374e7216fa730098">Dataset</a>, <a class="el" href="class_mnist.html#a743e0089d025c1be8322c81e99446c85">Mnist</a></li>
  120. <li>get_test_size()&#160;:&#160;<a class="el" href="class_dataset.html#a72fe64fb9ba5524d6b52e383190fcca6">Dataset</a></li>
  121. <li>get_train()&#160;:&#160;<a class="el" href="class_dataset.html#ad82b7125619aa7c991abe7a230459502">Dataset</a>, <a class="el" href="class_mnist.html#a33608fb1985e0af8b147c8de6101fdb1">Mnist</a></li>
  122. <li>get_train_size()&#160;:&#160;<a class="el" href="class_dataset.html#a32fa68b53895c6b9b85866cb20111863">Dataset</a></li>
  123. <li>get_y_size()&#160;:&#160;<a class="el" href="class_dataset.html#a4e480d79a9827e5bc75340eaff998d2c">Dataset</a></li>
  124. </ul>
  125. <h3><a id="index_i" name="index_i"></a>- i -</h3><ul>
  126. <li>init()&#160;:&#160;<a class="el" href="class_layer_1_1_convolution_layer.html#a4ec9a15fc2bb960f6c02841c6293d61a">Layer::ConvolutionLayer</a>, <a class="el" href="class_layer_1_1_full_connected_layer.html#ab24beb65794ad9c7c5bda1fc1c85a65c">Layer::FullConnectedLayer</a></li>
  127. <li>init_nabla()&#160;:&#160;<a class="el" href="class_layer_1_1_activation_layer.html#a230ad43fde65528cc36021e097f111a4">Layer::ActivationLayer&lt; A &gt;</a>, <a class="el" href="class_layer_1_1_convolution_layer.html#a435dfabf3e575ddf07a11304e2d4fe84">Layer::ConvolutionLayer</a>, <a class="el" href="class_layer_1_1_full_connected_layer.html#afd7c08ff8b30bbfc217159188ef483c5">Layer::FullConnectedLayer</a>, <a class="el" href="class_layer_1_1_layer.html#a87dbd5d1c1091769ba285084bd3513e7">Layer::Layer</a>, <a class="el" href="class_layer_1_1_pooling.html#a5c59ea7b198d3e42e334051f7a6e4645">Layer::Pooling</a></li>
  128. <li>init_standard()&#160;:&#160;<a class="el" href="class_layer_1_1_full_connected_layer.html#a799024d9ac46169f5db7340ad82f2780">Layer::FullConnectedLayer</a></li>
  129. <li>is_done()&#160;:&#160;<a class="el" href="class_network.html#a33b17ec8563577be73c109bfbb267c52">Network</a></li>
  130. </ul>
  131. <h3><a id="index_l" name="index_l"></a>- l -</h3><ul>
  132. <li>last_delta&#160;:&#160;<a class="el" href="class_network.html#a7d23ea49f6f1c5c0524210f658390cbc">Network</a></li>
  133. <li>Layer()&#160;:&#160;<a class="el" href="class_layer_1_1_layer.html#ac4ff1e869c508087bcf998899908be1a">Layer::Layer</a></li>
  134. <li>layers&#160;:&#160;<a class="el" href="class_network.html#a4bb79b836cfd07172c7ed37dade8cefd">Network</a></li>
  135. </ul>
  136. <h3><a id="index_m" name="index_m"></a>- m -</h3><ul>
  137. <li>m&#160;:&#160;<a class="el" href="class_layer_1_1_layer.html#a8d294cb3fc3d2970a2895ad8298d2e4d">Layer::Layer</a></li>
  138. <li>mi&#160;:&#160;<a class="el" href="class_layer_1_1_pooling.html#a1360199bea24a84eba49c82fa7c85afa">Layer::Pooling</a></li>
  139. <li>mj&#160;:&#160;<a class="el" href="class_layer_1_1_pooling.html#a70a33709b8f2e3d623b2b7be016e0097">Layer::Pooling</a></li>
  140. <li>Mnist()&#160;:&#160;<a class="el" href="class_mnist.html#a4f6cda03c6bfed38f44c4752d702243b">Mnist</a></li>
  141. </ul>
  142. <h3><a id="index_n" name="index_n"></a>- n -</h3><ul>
  143. <li>n&#160;:&#160;<a class="el" href="class_layer_1_1_layer.html#a99d315d8bcc460de6feba4bdac77766c">Layer::Layer</a></li>
  144. <li>n_in&#160;:&#160;<a class="el" href="class_network.html#a912e19f5f19a486459cb8dac0bba7b7e">Network</a></li>
  145. <li>n_out&#160;:&#160;<a class="el" href="class_network.html#a4b6a975d8042d27ac5a7a026db5fc1f0">Network</a></li>
  146. <li>nabla_b&#160;:&#160;<a class="el" href="class_layer_1_1_full_connected_layer.html#a5c919480d8e67974aa120b5fa9bdb20c">Layer::FullConnectedLayer</a></li>
  147. <li>nabla_w&#160;:&#160;<a class="el" href="class_layer_1_1_full_connected_layer.html#acb94cbdcb8f8477b196e123dd092deac">Layer::FullConnectedLayer</a></li>
  148. <li>name&#160;:&#160;<a class="el" href="class_layer_1_1_layer.html#a4c1dfb78f590b010a7a1e11706eb12f5">Layer::Layer</a></li>
  149. <li>Network()&#160;:&#160;<a class="el" href="class_network.html#a3cc2fb4f8fa4d507077e8da85ce5a1c8">Network</a></li>
  150. <li>nf&#160;:&#160;<a class="el" href="class_layer_1_1_pooling.html#a39aaffa3c994629ae48acddd980debe0">Layer::Pooling</a></li>
  151. <li>ni&#160;:&#160;<a class="el" href="class_layer_1_1_pooling.html#aa5039166bf8e18418f4173f778adc199">Layer::Pooling</a></li>
  152. <li>nj&#160;:&#160;<a class="el" href="class_layer_1_1_pooling.html#a2d3205efd40debac2409d505fdcc7ecc">Layer::Pooling</a></li>
  153. </ul>
  154. <h3><a id="index_p" name="index_p"></a>- p -</h3><ul>
  155. <li>p&#160;:&#160;<a class="el" href="class_layer_1_1_pooling.html#a9fc1a9baf77fa32e25ccf74c088b45d5">Layer::Pooling</a></li>
  156. <li>Pooling()&#160;:&#160;<a class="el" href="class_layer_1_1_pooling.html#ae4782bcaa9306742b54d01d1f26c9837">Layer::Pooling</a></li>
  157. <li>push_layer()&#160;:&#160;<a class="el" href="class_network.html#ade63dfedd3ffa5c0b9ef3e03aa58bc11">Network</a></li>
  158. </ul>
  159. <h3><a id="index_q" name="index_q"></a>- q -</h3><ul>
  160. <li>q&#160;:&#160;<a class="el" href="class_layer_1_1_pooling.html#ab0e8c8cc580e5fdc0f86437ee95b9d94">Layer::Pooling</a></li>
  161. </ul>
  162. <h3><a id="index_s" name="index_s"></a>- s -</h3><ul>
  163. <li>set_cost()&#160;:&#160;<a class="el" href="class_network.html#a790c6368ae5d69fbdb550ed7306543e5">Network</a></li>
  164. <li>Shape()&#160;:&#160;<a class="el" href="class_shape.html#a3c6cb254fcca8655162a89ee44dffd5b">Shape</a></li>
  165. <li>shuffle()&#160;:&#160;<a class="el" href="class_network.html#aa515f8e09f5d2c989abdf68d97e79e26">Network</a></li>
  166. <li>size()&#160;:&#160;<a class="el" href="class_shape.html#a1c941a2c6dea59debacf882e2c76d54f">Shape</a></li>
  167. </ul>
  168. <h3><a id="index_t" name="index_t"></a>- t -</h3><ul>
  169. <li>test_size&#160;:&#160;<a class="el" href="class_dataset.html#ab69cb524866ef5b2d14a8a6701f5aea2">Dataset</a></li>
  170. <li>train()&#160;:&#160;<a class="el" href="class_network.html#a7bfcf0b5c1ed41fc14771d256789a042">Network</a></li>
  171. <li>train_size&#160;:&#160;<a class="el" href="class_dataset.html#a694f77fcd998ee4b91dad75d57b5d2ab">Dataset</a></li>
  172. </ul>
  173. <h3><a id="index_u" name="index_u"></a>- u -</h3><ul>
  174. <li>update()&#160;:&#160;<a class="el" href="class_layer_1_1_activation_layer.html#afbc9f12d792008bbaf6d6c2d0177ebf1">Layer::ActivationLayer&lt; A &gt;</a>, <a class="el" href="class_layer_1_1_convolution_layer.html#a4764f42dfc31ad2d848e0d1c22b0704b">Layer::ConvolutionLayer</a>, <a class="el" href="class_layer_1_1_full_connected_layer.html#ab07a441a9cfead787120daea7193bc63">Layer::FullConnectedLayer</a>, <a class="el" href="class_layer_1_1_layer.html#a8f0801b946b94dfe856c57a632c9998f">Layer::Layer</a>, <a class="el" href="class_layer_1_1_pooling.html#ab04c4682d176b4bc760aee53c0ecc36a">Layer::Pooling</a></li>
  175. <li>update_batch()&#160;:&#160;<a class="el" href="class_network.html#a2bb9069ed59682d142860215ed970e06">Network</a></li>
  176. </ul>
  177. <h3><a id="index_w" name="index_w"></a>- w -</h3><ul>
  178. <li>w&#160;:&#160;<a class="el" href="class_layer_1_1_full_connected_layer.html#a906537c209c6b2ba90e4f9df64ad7ba4">Layer::FullConnectedLayer</a></li>
  179. </ul>
  180. <h3><a id="index_x" name="index_x"></a>- x -</h3><ul>
  181. <li>x&#160;:&#160;<a class="el" href="class_layer_1_1_layer.html#af2ebcf019bc0e4b97f41fc9205706665">Layer::Layer</a></li>
  182. <li>x_size&#160;:&#160;<a class="el" href="class_dataset.html#aefa53018e8b5bea1c4ad7d359c2e0169">Dataset</a></li>
  183. </ul>
  184. <h3><a id="index_y" name="index_y"></a>- y -</h3><ul>
  185. <li>y&#160;:&#160;<a class="el" href="class_layer_1_1_layer.html#acf6e43bdf3345739e8a2828a8c0606e7">Layer::Layer</a></li>
  186. <li>y_size&#160;:&#160;<a class="el" href="class_dataset.html#a6da12c43dcebc4375bd9ce33c4a48d79">Dataset</a></li>
  187. </ul>
  188. <h3><a id="index__7E" name="index__7E"></a>- ~ -</h3><ul>
  189. <li>~ActivationLayer()&#160;:&#160;<a class="el" href="class_layer_1_1_activation_layer.html#aa7059282e1e7eeb17b1e36e594e1f2ac">Layer::ActivationLayer&lt; A &gt;</a></li>
  190. <li>~ConvolutionLayer()&#160;:&#160;<a class="el" href="class_layer_1_1_convolution_layer.html#a0b79936c340c1667025dfda84c4c9273">Layer::ConvolutionLayer</a></li>
  191. <li>~FullConnectedLayer()&#160;:&#160;<a class="el" href="class_layer_1_1_full_connected_layer.html#a1a79650aea9f1de1f7c3a6030d807723">Layer::FullConnectedLayer</a></li>
  192. <li>~Layer()&#160;:&#160;<a class="el" href="class_layer_1_1_layer.html#a032af2375e6bae4de0f7649b31a62318">Layer::Layer</a></li>
  193. <li>~Pooling()&#160;:&#160;<a class="el" href="class_layer_1_1_pooling.html#adf15e44fc1480e17420808c15aa44067">Layer::Pooling</a></li>
  194. </ul>
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