diff --git a/documentation/functions_vars.xhtml b/documentation/functions_vars.xhtml
index e9526ef..95568d5 100644
--- a/documentation/functions_vars.xhtml
+++ b/documentation/functions_vars.xhtml
@@ -6,7 +6,7 @@
 <meta http-equiv="X-UA-Compatible" content="IE=9"/>
 <meta name="generator" content="Doxygen 1.8.11"/>
 <meta name="robots" content="NOINDEX, NOFOLLOW" /> <!-- Prevent indexing by search engines -->
-<title>ARM Compute Library: Data Fields - Variables</title>
+<title>Compute Library: Data Fields - Variables</title>
 <link href="tabs.css" rel="stylesheet" type="text/css"/>
 <script type="text/javascript" src="jquery.js"></script>
 <script type="text/javascript" src="dynsections.js"></script>
@@ -39,8 +39,8 @@
  <tbody>
  <tr style="height: 56px;">
   <td style="padding-left: 0.5em;">
-   <div id="projectname">ARM Compute Library
-   &#160;<span id="projectnumber">17.05</span>
+   <div id="projectname">Compute Library
+   &#160;<span id="projectnumber">v17.06</span>
    </div>
   </td>
  </tr>
@@ -55,6 +55,7 @@
   <div id="navrow1" class="tabs">
     <ul class="tablist">
       <li><a href="index.xhtml"><span>Main&#160;Page</span></a></li>
+      <li><a href="pages.xhtml"><span>Related&#160;Pages</span></a></li>
       <li><a href="namespaces.xhtml"><span>Namespaces</span></a></li>
       <li class="current"><a href="annotated.xhtml"><span>Data&#160;Structures</span></a></li>
       <li><a href="files.xhtml"><span>Files</span></a></li>
@@ -89,7 +90,10 @@
       <li><a href="functions.xhtml"><span>All</span></a></li>
       <li><a href="functions_func.xhtml"><span>Functions</span></a></li>
       <li class="current"><a href="functions_vars.xhtml"><span>Variables</span></a></li>
+      <li><a href="functions_type.xhtml"><span>Typedefs</span></a></li>
       <li><a href="functions_enum.xhtml"><span>Enumerations</span></a></li>
+      <li><a href="functions_eval.xhtml"><span>Enumerator</span></a></li>
+      <li><a href="functions_rela.xhtml"><span>Related&#160;Functions</span></a></li>
     </ul>
   </div>
   <div id="navrow4" class="tabs3">
@@ -97,9 +101,11 @@
       <li><a href="#index__"><span>_</span></a></li>
       <li><a href="#index_a"><span>a</span></a></li>
       <li><a href="#index_b"><span>b</span></a></li>
+      <li><a href="#index_c"><span>c</span></a></li>
       <li><a href="#index_d"><span>d</span></a></li>
       <li><a href="#index_e"><span>e</span></a></li>
       <li><a href="#index_f"><span>f</span></a></li>
+      <li><a href="#index_g"><span>g</span></a></li>
       <li><a href="#index_h"><span>h</span></a></li>
       <li><a href="#index_i"><span>i</span></a></li>
       <li><a href="#index_l"><span>l</span></a></li>
@@ -158,7 +164,7 @@
 : <a class="el" href="classarm__compute_1_1_access_window_static.xhtml#a85980789df8ce8a43eed2535663e5eca">AccessWindowStatic</a>
 </li>
 <li>_info
-: <a class="el" href="classarm__compute_1_1_access_window_static.xhtml#a9c8824b7479a7cfe0c43cb03b63f805d">AccessWindowStatic</a>
+: <a class="el" href="classarm__compute_1_1_access_window_static.xhtml#acea88797992fa16318f75073ff478f45">AccessWindowStatic</a>
 </li>
 <li>_start_x
 : <a class="el" href="classarm__compute_1_1_access_window_static.xhtml#a482da54e3056fdd14c12bd1490febd2a">AccessWindowStatic</a>
@@ -179,22 +185,45 @@
 <li>A22
 : <a class="el" href="structarm__compute_1_1_c_l_coefficient_table.xhtml#a20800b3d0475448767d2b30c530e1e29">CLCoefficientTable</a>
 </li>
+<li>act_layer
+: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_activation_layer.xhtml#ac66e1916a499d87abe29b182ed8ccde4">ActivationLayer&lt; DataSet, TensorType, Accessor, Function, dt &gt;</a>
+</li>
 <li>align_columns
 : <a class="el" href="structarm__compute_1_1_i_o_format_info.xhtml#a1d81fe110d5dcac79dd73a532015bb94">IOFormatInfo</a>
 </li>
+<li>alpha
+: <a class="el" href="classarm__compute_1_1test_1_1_g_e_m_m_data_object.xhtml#ab1551d8043c2aa4410fb7dbb1fe3be7b">GEMMDataObject</a>
+</li>
 <li>anchor
 : <a class="el" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">ValidRegion</a>
 </li>
+<li>are_weights_reshaped
+: <a class="el" href="classarm__compute_1_1test_1_1_fully_connected_layer_data_object.xhtml#a146a7be9d813ad80abb72a0bf6566cbc">FullyConnectedLayerDataObject</a>
+</li>
 </ul>
 
 
 <h3><a class="anchor" id="index_b"></a>- b -</h3><ul>
+<li>beta
+: <a class="el" href="classarm__compute_1_1test_1_1_g_e_m_m_data_object.xhtml#aa773d9a6c0ccefaa0fc9ab66fec68ec1">GEMMDataObject</a>
+</li>
+<li>bias_shape
+: <a class="el" href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml#a79820c7442073b8eb22fb3eaef6fd6ba">ConvolutionLayerDataObject</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_fully_connected_layer_data_object.xhtml#a79820c7442073b8eb22fb3eaef6fd6ba">FullyConnectedLayerDataObject</a>
+</li>
 <li>bottom
 : <a class="el" href="structarm__compute_1_1_border_size.xhtml#a802ffcf1b49237efe5be8a314d3f3869">BorderSize</a>
 </li>
 </ul>
 
 
+<h3><a class="anchor" id="index_c"></a>- c -</h3><ul>
+<li>conv_layer
+: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer.xhtml#a7f7c0967ad3c5af48d653555ce5d026e">ConvolutionLayer&lt; DataSet, TensorType, Accessor, Function, dt &gt;</a>
+</li>
+</ul>
+
+
 <h3><a class="anchor" id="index_d"></a>- d -</h3><ul>
 <li>DimX
 : <a class="el" href="classarm__compute_1_1_window.xhtml#aa96e81276ee4f87ab386cd05a5539a7d">Window</a>
@@ -205,6 +234,11 @@
 <li>DimZ
 : <a class="el" href="classarm__compute_1_1_window.xhtml#a893d17b56b9abc4423ce26e9a24ac5dc">Window</a>
 </li>
+<li>dst_shape
+: <a class="el" href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml#ad8f82f8e286d9360a6325ba3de549a93">ConvolutionLayerDataObject</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_fully_connected_layer_data_object.xhtml#ad8f82f8e286d9360a6325ba3de549a93">FullyConnectedLayerDataObject</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_pooling_layer_data_object.xhtml#ad8f82f8e286d9360a6325ba3de549a93">PoolingLayerDataObject</a>
+</li>
 <li>dummy
 : <a class="el" href="structarm__compute_1_1_c_l_l_k_internal_keypoint.xhtml#aaf67d90c5e431e85ea2b7681537beab9">CLLKInternalKeypoint</a>
 , <a class="el" href="structarm__compute_1_1_c_l_old_value.xhtml#a7531a17738ce5ec5517e2d160e7508a0">CLOldValue</a>
@@ -217,6 +251,9 @@
 <li>element_delim
 : <a class="el" href="structarm__compute_1_1_i_o_format_info.xhtml#a38c5b617ead74af00cc7957553bd0d66">IOFormatInfo</a>
 </li>
+<li>epsilon
+: <a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_data_object.xhtml#a2dceb63003a97fa431d06d1d07edc449">BatchNormalizationLayerDataObject</a>
+</li>
 <li>error
 : <a class="el" href="structarm__compute_1_1_key_point.xhtml#a7cfd13d282af770aaa971755fa092fca">KeyPoint</a>
 , <a class="el" href="struct_keypoint.xhtml#a7cfd13d282af770aaa971755fa092fca">Keypoint</a>
@@ -228,6 +265,19 @@
 <li>f32
 : <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#a7d886905c667c4e8e91251b6a3a98f39">PixelValue</a>
 </li>
+<li>false_value
+: <a class="el" href="classarm__compute_1_1test_1_1_threshold_data_object.xhtml#a8f9511319a4bb3d68d21804f420a8700">ThresholdDataObject</a>
+</li>
+<li>fc_layer
+: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_fully_connected_layer.xhtml#aef95e5f9152f736f58d6de6f5890a75f">FullyConnectedLayer&lt; DataSet, TensorType, Accessor, Function, dt &gt;</a>
+</li>
+</ul>
+
+
+<h3><a class="anchor" id="index_g"></a>- g -</h3><ul>
+<li>gemm_layer
+: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_g_e_m_m.xhtml#a54b05892eda284b570e48588ab714fa1">GEMM&lt; DataSet, TensorType, Accessor, Function, data_type &gt;</a>
+</li>
 </ul>
 
 
@@ -236,6 +286,7 @@
 : <a class="el" href="structarm__compute_1_1_detection_window.xhtml#a81c9f8d0b8c3b49d770be14dbe9f0d37">DetectionWindow</a>
 , <a class="el" href="structarm__compute_1_1_rectangle.xhtml#a81c9f8d0b8c3b49d770be14dbe9f0d37">Rectangle</a>
 , <a class="el" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">Size2D</a>
+, <a class="el" href="struct_detection_window.xhtml#aa0fb54e3dbe6f7446157eb3f3c1f77f3">DetectionWindow</a>
 </li>
 </ul>
 
@@ -244,6 +295,12 @@
 <li>idx_class
 : <a class="el" href="structarm__compute_1_1_detection_window.xhtml#ae5c4999829285e20d3b491807fa46fd1">DetectionWindow</a>
 </li>
+<li>info
+: <a class="el" href="classarm__compute_1_1test_1_1_activation_layer_data_object.xhtml#a54f19f30ef6360b54b38ec4a1152d821">ActivationLayerDataObject</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml#a04e99eab3f61ebdfd514fb71a7f9a0c2">ConvolutionLayerDataObject</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml#ad08bf8a9f9999ef93cb154b9596b7e80">NormalizationLayerDataObject</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_pooling_layer_data_object.xhtml#a947df585175f474f9a1aa90d1455b4d6">PoolingLayerDataObject</a>
+</li>
 <li>ival
 : <a class="el" href="structarm__compute_1_1_c_l_old_value.xhtml#a1cff71bbc642cf572dd01d8e8bb46abd">CLOldValue</a>
 </li>
@@ -271,6 +328,13 @@
 
 
 <h3><a class="anchor" id="index_n"></a>- n -</h3><ul>
+<li>network
+: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_alex_net_fixture.xhtml#a13f74594dbca1ffe5cfae5ab16cb0498">AlexNetFixture&lt; ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction, dt &gt;</a>
+, <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_le_net5_fixture.xhtml#ada00318d6d044f04bfe8e9a0aaa9b56b">LeNet5Fixture&lt; TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
+</li>
+<li>norm_layer
+: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_normalization_layer.xhtml#a5f9f11b451848595ddb99fb97a1978cb">NormalizationLayer&lt; DataSet, TensorType, Accessor, Function, dt &gt;</a>
+</li>
 <li>num_max_dimensions
 : <a class="el" href="classarm__compute_1_1_dimensions.xhtml#a1b67d5b720119d50faa286c774579ecc">Dimensions&lt; T &gt;</a>
 </li>
@@ -291,6 +355,12 @@
 
 
 <h3><a class="anchor" id="index_p"></a>- p -</h3><ul>
+<li>path
+: <a class="el" href="structarm__compute_1_1test_1_1_user_configuration.xhtml#a9ac536a7d8d15cfddf0f68c48f7d2c39">UserConfiguration</a>
+</li>
+<li>pool_layer
+: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_pooling_layer.xhtml#a38dbfeb16a770d1229dff81187acd29d">PoolingLayer&lt; DataSet, TensorType, Accessor, Function, dt &gt;</a>
+</li>
 <li>precision
 : <a class="el" href="structarm__compute_1_1_i_o_format_info.xhtml#a1fba9343eade93326cb985cfcb6de487">IOFormatInfo</a>
 </li>
@@ -300,6 +370,16 @@
 <li>print_region
 : <a class="el" href="structarm__compute_1_1_i_o_format_info.xhtml#a3e3b8af91d2afbfeed14560f2070fd50">IOFormatInfo</a>
 </li>
+<li>profiler
+: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_activation_layer.xhtml#a776ac8deaafd98dedc2c146058762923">ActivationLayer&lt; DataSet, TensorType, Accessor, Function, dt &gt;</a>
+, <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_alex_net_fixture.xhtml#a776ac8deaafd98dedc2c146058762923">AlexNetFixture&lt; ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction, dt &gt;</a>
+, <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_convolution_layer.xhtml#a776ac8deaafd98dedc2c146058762923">ConvolutionLayer&lt; DataSet, TensorType, Accessor, Function, dt &gt;</a>
+, <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_fully_connected_layer.xhtml#a776ac8deaafd98dedc2c146058762923">FullyConnectedLayer&lt; DataSet, TensorType, Accessor, Function, dt &gt;</a>
+, <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_g_e_m_m.xhtml#a776ac8deaafd98dedc2c146058762923">GEMM&lt; DataSet, TensorType, Accessor, Function, data_type &gt;</a>
+, <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_le_net5_fixture.xhtml#a776ac8deaafd98dedc2c146058762923">LeNet5Fixture&lt; TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
+, <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_normalization_layer.xhtml#a776ac8deaafd98dedc2c146058762923">NormalizationLayer&lt; DataSet, TensorType, Accessor, Function, dt &gt;</a>
+, <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_pooling_layer.xhtml#a776ac8deaafd98dedc2c146058762923">PoolingLayer&lt; DataSet, TensorType, Accessor, Function, dt &gt;</a>
+</li>
 <li>ptr
 : <a class="el" href="struct_image.xhtml#acf52c23cbd7424606c10a606524e3e32">Image</a>
 , <a class="el" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D</a>
@@ -321,6 +401,9 @@
 <li>row_delim
 : <a class="el" href="structarm__compute_1_1_i_o_format_info.xhtml#ab1a3e6cb2768124a6853f52bd0e10596">IOFormatInfo</a>
 </li>
+<li>runs
+: <a class="el" href="structarm__compute_1_1test_1_1performance_1_1_performance_user_configuration.xhtml#a6fb109495cec5dfe6ba3f2251ad0fd16">PerformanceUserConfiguration</a>
+</li>
 </ul>
 
 
@@ -331,6 +414,9 @@
 <li>s32
 : <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#acd1420e45b5486795a46cf1a5943a0ff">PixelValue</a>
 </li>
+<li>s8
+: <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#acf0eb502f72832af26e62c69457bd1b6">PixelValue</a>
+</li>
 <li>scale
 : <a class="el" href="structarm__compute_1_1_key_point.xhtml#a1d28dec57cce925ad92342891bd71e7c">KeyPoint</a>
 , <a class="el" href="struct_keypoint.xhtml#a1d28dec57cce925ad92342891bd71e7c">Keypoint</a>
@@ -338,8 +424,36 @@
 <li>score
 : <a class="el" href="structarm__compute_1_1_detection_window.xhtml#a8c5cd9b525ee73a24b1d9d8e34982d1c">DetectionWindow</a>
 </li>
+<li>seed
+: <a class="el" href="structarm__compute_1_1test_1_1_user_configuration.xhtml#a18ed7b52d7b41e0026a63152ecdfdb4f">UserConfiguration</a>
+</li>
 <li>shape
-: <a class="el" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">ValidRegion</a>
+: <a class="el" href="classarm__compute_1_1test_1_1_activation_layer_data_object.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">ActivationLayerDataObject</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_normalization_layer_data_object.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">NormalizationLayerDataObject</a>
+, <a class="el" href="structarm__compute_1_1_valid_region.xhtml#a1fcd64682b37ed3c2098d0094ce788d8">ValidRegion</a>
+</li>
+<li>shape0
+: <a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_data_object.xhtml#acf52748ae2d450dfb766cc9e8d432968">BatchNormalizationLayerDataObject</a>
+</li>
+<li>shape1
+: <a class="el" href="classarm__compute_1_1test_1_1_batch_normalization_layer_data_object.xhtml#a26a7ebbd0f1abc1b99ed59670396fa69">BatchNormalizationLayerDataObject</a>
+</li>
+<li>shape_a
+: <a class="el" href="classarm__compute_1_1test_1_1_g_e_m_m_data_object.xhtml#a24ad4faef0bbd614c92b9e4eaa7e3f0d">GEMMDataObject</a>
+</li>
+<li>shape_b
+: <a class="el" href="classarm__compute_1_1test_1_1_g_e_m_m_data_object.xhtml#a311c7503f0ef6cb1893ffc3bf8f22eb5">GEMMDataObject</a>
+</li>
+<li>shape_c
+: <a class="el" href="classarm__compute_1_1test_1_1_g_e_m_m_data_object.xhtml#aaf83cf20c565f70f378e2ee14c3345eb">GEMMDataObject</a>
+</li>
+<li>shape_d
+: <a class="el" href="classarm__compute_1_1test_1_1_g_e_m_m_data_object.xhtml#a617f3c0ece11741e135b856c6b033518">GEMMDataObject</a>
+</li>
+<li>src_shape
+: <a class="el" href="classarm__compute_1_1test_1_1_convolution_layer_data_object.xhtml#a1657d54add914f1cb9de70d569c56032">ConvolutionLayerDataObject</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_fully_connected_layer_data_object.xhtml#a1657d54add914f1cb9de70d569c56032">FullyConnectedLayerDataObject</a>
+, <a class="el" href="classarm__compute_1_1test_1_1_pooling_layer_data_object.xhtml#a1657d54add914f1cb9de70d569c56032">PoolingLayerDataObject</a>
 </li>
 <li>strength
 : <a class="el" href="structarm__compute_1_1_key_point.xhtml#a2c1c8f9331368f38bfc3eaee260b59a6">KeyPoint</a>
@@ -361,6 +475,12 @@
 
 
 <h3><a class="anchor" id="index_t"></a>- t -</h3><ul>
+<li>threads
+: <a class="el" href="structarm__compute_1_1test_1_1_user_configuration.xhtml#aa7346c45be0fbedd13db9247e5495f63">UserConfiguration</a>
+</li>
+<li>threshold
+: <a class="el" href="classarm__compute_1_1test_1_1_threshold_data_object.xhtml#acebd8775c10986a082360135a65f7efe">ThresholdDataObject</a>
+</li>
 <li>top
 : <a class="el" href="structarm__compute_1_1_border_size.xhtml#a3fdd42ea34070a54e696b3adc28c4be3">BorderSize</a>
 </li>
@@ -371,6 +491,15 @@
 , <a class="el" href="struct_internal_keypoint.xhtml#a08361efa212a9ab04a5965766ea942d5">InternalKeypoint</a>
 , <a class="el" href="struct_keypoint.xhtml#a7edfed755585d6095522904dbe0ec4d8">Keypoint</a>
 </li>
+<li>transpose_weights
+: <a class="el" href="classarm__compute_1_1test_1_1_fully_connected_layer_data_object.xhtml#a11851649b6a7cd12ae25cf72b769cfb9">FullyConnectedLayerDataObject</a>
+</li>
+<li>true_value
+: <a class="el" href="classarm__compute_1_1test_1_1_threshold_data_object.xhtml#a896f1e95f0da48664856d15c29d9d902">ThresholdDataObject</a>
+</li>
+<li>type
+: <a class="el" href="classarm__compute_1_1test_1_1_threshold_data_object.xhtml#a02d83e4c149e7159d5421c948c0431f4">ThresholdDataObject</a>
+</li>
 </ul>
 
 
@@ -384,21 +513,31 @@
 <li>u8
 : <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#a0084c9e8c5778849f41d9de5df9c0f85">PixelValue</a>
 </li>
+<li>upper
+: <a class="el" href="classarm__compute_1_1test_1_1_threshold_data_object.xhtml#ab5656e31ec33ebf5656bcc8262b90fd3">ThresholdDataObject</a>
+</li>
 </ul>
 
 
 <h3><a class="anchor" id="index_v"></a>- v -</h3><ul>
 <li>value
-: <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#a3e79b9ee2384b30bb1a1bb85155bb803">PixelValue</a>
+: <a class="el" href="structarm__compute_1_1enable__bitwise__ops.xhtml#a5b4ee4ae6cba6bb75200ba7af1910873">enable_bitwise_ops&lt; T &gt;</a>
+, <a class="el" href="structarm__compute_1_1enable__bitwise__ops_3_01arm__compute_1_1_g_p_u_target_01_4.xhtml#a5b4ee4ae6cba6bb75200ba7af1910873">enable_bitwise_ops&lt; arm_compute::GPUTarget &gt;</a>
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 <h3><a class="anchor" id="index_w"></a>- w -</h3><ul>
+<li>weights_shape
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+, <a class="el" href="classarm__compute_1_1test_1_1_fully_connected_layer_data_object.xhtml#a639a4b038a3685eb058e33cb95385212">FullyConnectedLayerDataObject</a>
+</li>
 <li>width
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 , <a class="el" href="structarm__compute_1_1_rectangle.xhtml#ad0eab1042455a2067c812ab8071d5376">Rectangle</a>
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@@ -413,6 +552,7 @@
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 , <a class="el" href="struct_coordinates2_d.xhtml#a6150e0515f7202e2fb518f7206ed97dc">Coordinates2D</a>
+, <a class="el" href="struct_detection_window.xhtml#a0815db32ce16586f5e90a633735df930">DetectionWindow</a>
 , <a class="el" href="struct_internal_keypoint.xhtml#ad0da36b2558901e21e7a30f6c227a45e">InternalKeypoint</a>
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@@ -429,6 +569,7 @@
 , <a class="el" href="structarm__compute_1_1_n_e_l_k_internal_keypoint.xhtml#aa4f0d3eebc3c443f9be81bf48561a217">NELKInternalKeypoint</a>
 , <a class="el" href="structarm__compute_1_1_rectangle.xhtml#ab0580f504a7428539be299fa71565f30">Rectangle</a>
 , <a class="el" href="struct_coordinates2_d.xhtml#a0a2f84ed7838f07779ae24c5a9086d33">Coordinates2D</a>
+, <a class="el" href="struct_detection_window.xhtml#a45b45124e843a937c3e256edbce64eea">DetectionWindow</a>
 , <a class="el" href="struct_internal_keypoint.xhtml#aa4f0d3eebc3c443f9be81bf48561a217">InternalKeypoint</a>
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@@ -448,7 +589,7 @@
 <!-- start footer part -->
 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
   <ul>
-    <li class="footer">Generated on Wed May 3 2017 17:20:05 for ARM Compute Library by
+    <li class="footer">Generated on Fri Jun 23 2017 15:44:36 for Compute Library by
     <a href="http://www.doxygen.org/index.html">
     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
   </ul>