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< div id = "projectname" > CMSIS-NN
  < span id = "projectnumber" > Version 1.1.0< / span >
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< div id = "projectbrief" > CMSIS NN Software Library< / div >
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< a class = "SelectItem" href = "javascript:void(0)" onclick = "searchBox.OnSelectItem(0)" > < span class = "SelectionMark" >   < / span > All< / a > < a class = "SelectItem" href = "javascript:void(0)" onclick = "searchBox.OnSelectItem(1)" > < span class = "SelectionMark" >   < / span > Data Structures< / a > < a class = "SelectItem" href = "javascript:void(0)" onclick = "searchBox.OnSelectItem(2)" > < span class = "SelectionMark" >   < / span > Namespaces< / a > < a class = "SelectItem" href = "javascript:void(0)" onclick = "searchBox.OnSelectItem(3)" > < span class = "SelectionMark" >   < / span > Files< / a > < a class = "SelectItem" href = "javascript:void(0)" onclick = "searchBox.OnSelectItem(4)" > < span class = "SelectionMark" >   < / span > Functions< / a > < a class = "SelectItem" href = "javascript:void(0)" onclick = "searchBox.OnSelectItem(5)" > < span class = "SelectionMark" >   < / span > Variables< / a > < a class = "SelectItem" href = "javascript:void(0)" onclick = "searchBox.OnSelectItem(6)" > < span class = "SelectionMark" >   < / span > Enumerations< / a > < a class = "SelectItem" href = "javascript:void(0)" onclick = "searchBox.OnSelectItem(7)" > < span class = "SelectionMark" >   < / span > Enumerator< / a > < a class = "SelectItem" href = "javascript:void(0)" onclick = "searchBox.OnSelectItem(8)" > < span class = "SelectionMark" >   < / span > Macros< / a > < a class = "SelectItem" href = "javascript:void(0)" onclick = "searchBox.OnSelectItem(9)" > < span class = "SelectionMark" >   < / span > Groups< / a > < a class = "SelectItem" href = "javascript:void(0)" onclick = "searchBox.OnSelectItem(10)" > < span class = "SelectionMark" >   < / span > Pages< / a > < / div >
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< div class = "textblock" > Here is a list of all modules:< / div > < div class = "directory" >
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< tr id = "row_0_" class = "even" > < td class = "entry" > < img src = "ftv2node.png" alt = "o" width = "16" height = "22" / > < a class = "el" href = "group__CNNExample.html" target = "_self" > Convolutional Neural Network Example< / a > < / td > < td class = "desc" > < / td > < / tr >
< tr id = "row_1_" > < td class = "entry" > < img src = "ftv2node.png" alt = "o" width = "16" height = "22" / > < a class = "el" href = "group__GRUExample.html" target = "_self" > Gated Recurrent Unit Example< / a > < / td > < td class = "desc" > < / td > < / tr >
< tr id = "row_2_" class = "even" > < td class = "entry" > < img id = "arr_2_" src = "ftv2mnode.png" alt = "o" width = "16" height = "22" onclick = "toggleFolder('2_')" / > < a class = "el" href = "group__groupNN.html" target = "_self" > Neural Network Functions< / a > < / td > < td class = "desc" > < / td > < / tr >
< tr id = "row_2_0_" > < td class = "entry" > < img src = "ftv2vertline.png" alt = "|" width = "16" height = "22" / > < img src = "ftv2node.png" alt = "o" width = "16" height = "22" / > < a class = "el" href = "group__Acti.html" target = "_self" > Neural Network Activation Functions< / a > < / td > < td class = "desc" > < / td > < / tr >
< tr id = "row_2_1_" class = "even" > < td class = "entry" > < img src = "ftv2vertline.png" alt = "|" width = "16" height = "22" / > < img src = "ftv2node.png" alt = "o" width = "16" height = "22" / > < a class = "el" href = "group__NNConv.html" target = "_self" > Neural Network Convolution Functions< / a > < / td > < td class = "desc" > < / td > < / tr >
< tr id = "row_2_2_" > < td class = "entry" > < img src = "ftv2vertline.png" alt = "|" width = "16" height = "22" / > < img src = "ftv2node.png" alt = "o" width = "16" height = "22" / > < a class = "el" href = "group__FC.html" target = "_self" > Fully-connected Layer Functions< / a > < / td > < td class = "desc" > < / td > < / tr >
< tr id = "row_2_3_" class = "even" > < td class = "entry" > < img src = "ftv2vertline.png" alt = "|" width = "16" height = "22" / > < img src = "ftv2node.png" alt = "o" width = "16" height = "22" / > < a class = "el" href = "group__Pooling.html" target = "_self" > Neural Network Pooling Functions< / a > < / td > < td class = "desc" > < / td > < / tr >
< tr id = "row_2_4_" > < td class = "entry" > < img src = "ftv2vertline.png" alt = "|" width = "16" height = "22" / > < img src = "ftv2lastnode.png" alt = "\" width = "16" height = "22" / > < a class = "el" href = "group__Softmax.html" target = "_self" > Softmax Functions< / a > < / td > < td class = "desc" > < / td > < / tr >
< tr id = "row_3_" class = "even" > < td class = "entry" > < img src = "ftv2node.png" alt = "o" width = "16" height = "22" / > < a class = "el" href = "group__nndata__convert.html" target = "_self" > Neural Network Data Conversion Functions< / a > < / td > < td class = "desc" > < / td > < / tr >
< tr id = "row_4_" > < td class = "entry" > < img src = "ftv2lastnode.png" alt = "\" width = "16" height = "22" / > < a class = "el" href = "group__NNBasicMath.html" target = "_self" > Basic Math Functions for Neural Network Computation< / a > < / td > < td class = "desc" > < / td > < / tr >
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< li class = "footer" > Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
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