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Re: Hinton diagrams
*To*: mathgroup at smc.vnet.net
*Subject*: [mg63071] Re: Hinton diagrams
*From*: Jean-Marc Gulliet <jeanmarc.gulliet at gmail.com>
*Date*: Tue, 13 Dec 2005 03:40:53 -0500 (EST)
*Organization*: The Open University, Milton Keynes, UK
*References*: <dnir4e$9ua$1@smc.vnet.net>
*Sender*: owner-wri-mathgroup at wolfram.com
hans.sjunnesson at gmail.com wrote:
> I have created a neural network using the Fast Artificial Neural
> Networks package for Mathematica.
> In the end the weights of the finished network is represented thusly:
>
> {{1, 8, -0.0354672}, {2, 8, 0.719431}, {3, 8, 0.538668}, {4, 8,
> 0.617062}, {5,
> 8, 2.69463}, {6, 8, 1.32144}, {7, 8, -0.386639}, {1, 9, 1.03297},
> {2,
> 9, 0.655591}, {3, 9, 0.806346}, {4,
> 9, 0.632072}, {5, 9, 0.55292}, {6, 9,
> 0.599058}, {7, 9, 1.0424}, {1, 10, -1.64471}, {2, 10, 2.62318}, {3,
> 10, 1.51706}, {4, 10, 1.68971}, {5, 10, 0.899632}, {6, 10,
> -1.15408}, {
> 7, 10, -0.157527}, {1, 11, -0.186235}, {2, 11, 1.39747}, {3, 11,
> 1.89406}, {
> 4, 11, -0.434147}, {5, 11, -1.88703}, {6,
> 11, 2.23624}, {7, 11, -3.17978}, {8, 13, 1.83855}, {9, 13,
> -0.912118}, {
> 10, 13, 4.37321}, {11, 13, 3.82373}, {12, 13, -5.73714}}
>
> I looks quite messy, but it's fairly simple - the weight of the
> connection from unit 1 to unit 8 is -0.0354672, the connection from 2
> to 8 is 0.719431 and so forth.
>
> Units 1 to 7 represents the first layer, units 8 to 12 the hidden
> middle layer and unit 13 is the single output layer.
>
> A Hinton diagram is a matrix of squares. The squares' size represents
> the magnitude of the weight, and the color is the weight's sign.
> There's a screenshot here http://www.nd.com/products/nsv30/hinton.htm
>
> I would like to create two Hinton diagrams from this data. One for the
> weights from the first to the second layer, and one for the weights
> from the second to the third layer.
>
> Has anyone done something similar, or can propose a solution to this?
> I'd very much appreciate it.
>
Hi Hans,
The following function should do more or less what you are looking for.
At least, I believe it is a good starting point.
plotHinton[l_List, p_Integer, q_Integer] :=
Module[{data, maxWeight, xmin, xmax, ymin, ymax},
data = Select[l, p <= #1[[1]] <= q & ];
maxWeight = Max[Abs[data[[All,3]]]];
xmin = Min[data[[All,1]]] - 1;
xmax = Max[data[[All,1]]] + 1;
ymin = Min[data[[All,2]]] - 1;
ymax = Max[data[[All,2]]] + 1;
hinton[pt_] :=
Module[{wg, gl, scale, px, py},
wg = pt[[3]];
gl = If[Sign[wg] > 0, 0, 0.8];
wg = Abs[wg];
scale = wg/maxWeight;
px = {pt[[1]], pt[[2]]} - {scale, scale}/2;
py = {pt[[1]], pt[[2]]} + {scale, scale}/2;
Graphics[{GrayLevel[gl], Rectangle[px, py]}]
];
Show[hinton /@ data,
Frame -> True,
AspectRatio -> Automatic,
PlotRange -> {{xmin, xmax}, {ymin, ymax}},
ImageSize -> 500,
FrameTicks -> {Range[xmin, xmax], Range[ymin, ymax], None, None}]
]
Now we try it with your data
In[2]:=
data={{1,8,-0.0354672},{2,8,0.719431},{3,8,0.538668},{4,
8,0.617062},{5,8,2.69463},{6,8,1.32144},{7,8,-0.386639},{1,
9,1.03297},{2,9,0.655591},{3,9,0.806346},{4,9,0.632072},{5,
9,0.55292},{6,9,0.599058},{7,9,1.0424},{1,10,-1.64471},{
2,10,2.62318},{3,10,1.51706},{4,10,1.68971},{5,10,0.899632},{
6,10,-1.15408},{7,10,-0.157527},{1,11,-0.186235},{
2,11,1.39747},{3,11,1.89406},{4,11,-0.434147},{5,11,-1.88703},{6,11,
2.23624},{7,11,-3.17978},{8,13,1.83855},{9,13,-0.912118},{10,
13,4.37321},{11,13,3.82373},{12,13,-5.73714}};
In[3]:=
plotHinton[data,1,7];
plotHinton[data, 8, 12];
Hope this helps,
/J.M.
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