sample.xml

File sample.xml provides a sample convolutional network configuration.

00001 <?xml version="1.0" encoding="UTF-8"?>
00002 <!-- /* -->
00003 <net name="sample" creator="Akhmed Umyarov">
00004         <info>
00005                 This is a template of config file for convolutional network.
00006                 1) connection tag contains weights for the connection of 
00007                 the plane to its parent planes (from-left-to-right, then row-by-row
00008                 from-top-to-bottom)
00009                 2) bias has a special tag
00010                 3) each plane has its own id, type, featuremap size and window size
00011                 of its neuron
00012                 4) there are several types of planes including 
00013                    "source plane" (data abstraction specifying size of source image),
00014                    "convolution plane",
00015                    "subsampling plane", 
00016                    "max plane" (data abstraction for output decision)
00017                    Each plane has exactly one feature map, so you can think of the
00018                    plane as a neuron with its attached featuremap.
00019         </info>
00020         
00021         <!-- Source image -->
00022         <plane id="src" type="source" featuremapsize="32x32">
00023         </plane>
00024         
00025         <!-- Layer C1: 4 planes -->
00026         <plane id="C1-1" type="convolution" featuremapsize="28x28" neuronsize="5x5">
00027                 <bias> 1.0 </bias>
00028                 <connection to="src"> 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 </connection>
00029         </plane>
00030         <plane id="C1-2" type="convolution" featuremapsize="28x28" neuronsize="5x5">
00031                 <bias> 1.0 </bias>
00032                 <connection to="src"> 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 </connection>
00033         </plane>
00034         <plane id="C1-3" type="convolution" featuremapsize="28x28" neuronsize="5x5">
00035                 <bias> 1.0 </bias>
00036                 <connection to="src"> 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 </connection>
00037         </plane>
00038         <plane id="C1-4" type="convolution" featuremapsize="28x28" neuronsize="5x5">
00039                 <bias> 1.0 </bias>
00040                 <connection to="src"> 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 </connection>
00041         </plane>
00042         
00043         <!-- Layer S2: 4 planes -->
00044         <plane id="S2-1" type="subsampling" featuremapsize="14x14" neuronsize="2x2">
00045                 <bias> 1.0 </bias>
00046                 <connection to="C1-1"> 1.0 </connection>
00047         </plane>
00048         <plane id="S2-2" type="subsampling" featuremapsize="14x14" neuronsize="2x2">
00049                 <bias> 1.0 </bias>
00050                 <connection to="C1-2"> 1.0 </connection>
00051         </plane>
00052         <plane id="S2-3" type="subsampling" featuremapsize="14x14" neuronsize="2x2">
00053                 <bias> 1.0 </bias>
00054                 <connection to="C1-3"> 1.0 </connection>
00055         </plane>
00056         <plane id="S2-4" type="subsampling" featuremapsize="14x14" neuronsize="2x2">
00057                 <bias> 1.0 </bias>
00058                 <connection to="C1-4"> 1.0 </connection>
00059         </plane>
00060 
00061         <!-- And now layer C3: only 2 planes -->
00062         <plane id="C3-1" type="convolution" featuremapsize="10x10" neuronsize="5x5">
00063                 <bias> 1.0 </bias>
00064                 <connection to="S2-1"> 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 </connection>
00065                 <connection to="S2-2"> 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 </connection>
00066                 <connection to="S2-3"> 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 </connection>
00067         </plane>
00068         <plane id="C3-2" type="convolution" featuremapsize="10x10" neuronsize="5x5">
00069                 <bias> 1.0 </bias>
00070                 <connection to="S2-2"> 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 </connection>
00071                 <connection to="S2-3"> 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 </connection>
00072                 <connection to="S2-4"> 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 </connection>
00073         </plane>
00074         
00075         <!-- Here goes layer S4 -->
00076         <plane id="S4-1" type="subsampling" featuremapsize="5x5" neuronsize="2x2">
00077                 <bias> 1.0 </bias>
00078                 <connection to="C3-1"> 1.0 </connection>
00079         </plane>
00080         <plane id="S4-2" type="subsampling" featuremapsize="5x5" neuronsize="2x2">
00081                 <bias> 1.0 </bias>
00082                 <connection to="C3-2"> 1.0 </connection>
00083         </plane>
00084                 
00085         <!-- Layer C5: 2 planes-->
00086         <plane id="C5-1" type="convolution" featuremapsize="1x1" neuronsize="5x5">
00087                 <bias> 0.0 </bias>
00088                 <connection to="S4-1"> 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 </connection>
00089                 <connection to="S4-2"> 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 </connection>
00090         </plane>
00091         <plane id="C5-2" type="convolution" featuremapsize="1x1" neuronsize="5x5">
00092                 <bias> 1.0 </bias>
00093                 <connection to="S4-1"> 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 </connection>
00094                 <connection to="S4-2"> 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 </connection>
00095         </plane>
00096         
00097         <!-- "Output" neuron: -->
00098         <!-- program abstraction for choosing maximum of C5 layer -->
00099         <plane id="output" type="max">
00100                 <connection to="C5-1"> </connection>
00101                 <connection to="C5-2"> </connection>
00102         </plane>
00103 </net>
00104 <!-- */ -->

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