User contributions for Mderakhs
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2 November 2009
- 11:3811:38, 2 November 2009 diff hist −30 stat841 →Complexity Control October 30, 2009
- 11:3711:37, 2 November 2009 diff hist +205 stat841 →Deep Neural Network
- 11:3111:31, 2 November 2009 diff hist +29 stat841 →Deep Neural Network
- 11:3011:30, 2 November 2009 diff hist −11 stat841 →Dimensionality reduction application
- 11:2611:26, 2 November 2009 diff hist +37 stat841 →Dimensionality reduction application
- 11:1911:19, 2 November 2009 diff hist +112 stat841 →Back-propagation
- 03:5303:53, 2 November 2009 diff hist +1 stat841 →Back-propagation
- 03:5103:51, 2 November 2009 diff hist +209 stat841 →Back-propagation
- 03:3703:37, 2 November 2009 diff hist +575 stat841 →Neural Networks (NN) - October 30, 2009
- 03:2403:24, 2 November 2009 diff hist 0 stat841 →Dimensionality reduction application
- 03:2303:23, 2 November 2009 diff hist 0 stat841 →Dimensionality reduction application
- 03:2203:22, 2 November 2009 diff hist −21 stat841 →Dimensionality reduction application
- 03:2103:21, 2 November 2009 diff hist 0 N File:NN-bottelneck.png No edit summary current
- 01:2701:27, 2 November 2009 diff hist +43 stat841 →Complexity Control October 30, 2009
- 01:1901:19, 2 November 2009 diff hist +172 stat841 →Complexity Control October 30, 2009
- 01:1501:15, 2 November 2009 diff hist −1 stat841 →Complexity Control October 30, 2009
- 01:1501:15, 2 November 2009 diff hist 0 stat841 →Complexity Control October 30, 2009
- 01:1301:13, 2 November 2009 diff hist −1 stat841 →Complexity Control October 30, 2009
- 01:1301:13, 2 November 2009 diff hist 0 stat841 →Complexity Control October 30, 2009
- 01:1201:12, 2 November 2009 diff hist +287 N File:Overfitting-model.png x=20*rand(9,1); x=sort(x); x=[0;x;20]; e=rand(size(x,1),1); plot(x,2*x+10*e,'*','MarkerEdgeColor','k'); hold on plot(x,2*x+10*e,'-.','MarkerEdgeColor','k'); hold on; plot(nx,2*nx+5 ,'-r'); h = legend('The training data set','An overfitting model', 'A lin