externals/ann/examples/ann_mlp_example4 gen_trainfile-help.pd, NONE, 1.1 gen_trainfile.pd, NONE, 1.1 multidim_net.pd, NONE, 1.1 test.txt, NONE, 1.1 trainfile2.dat, NONE, 1.1 trainfile.dat, NONE, 1.1 - Pd-cvs

31 Aug 2005


      Update of /cvsroot/pure-data/externals/ann/examples/ann_mlp_example4
In directory sc8-pr-cvs1.sourceforge.net:/tmp/cvs-serv22123
Added Files:
    gen_trainfile-help.pd gen_trainfile.pd multidim_net.pd 
    test.txt trainfile2.dat trainfile.dat 
Log Message:
a new example - needs much externals, but should only should how to use the new extensions ...
--- NEW FILE: gen_trainfile-help.pd ---
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#X text 198 23 ::::_gen_trainfile_::::;
#X text 46 68 This abstraction generates a trainig file for ann_mlp
and ann_td;
#X obj 351 443 gen_trainfile;
#X msg 437 154 test.txt;
#X text 313 153 1) set filename:;
#X msg 394 215 4 2 1;
#X text 249 217 2) set file header:;
#X text 183 241 4 = nr. of training datasets;
#X text 184 255 2 = inputs of the neural net;
#X text 184 269 1 = output of the neural net;
#X msg 150 393 0 0 0;
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#X text 46 116 Example:;
#X text 36 311 3) send training data (first inputs , then output)
;
#X text 58 327 because you have now 4 training datasets you;
#X text 57 342 must pass 4 lists !!!;
#X text 162 374 a;
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#X text 332 502 file is ready:;
#X text 238 468 added datasets:;
#X text 150 573 (c) 2005 , Georg Holzmann grh@mur.at;
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--- NEW FILE: trainfile.dat ---
4 2 4
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--- NEW FILE: multidim_net.pd ---
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#X text 91 404 2) step through all;
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is: FANN_TRAIN_RPROP see the FANN manual for details on each algorithm:
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--- NEW FILE: trainfile2.dat ---
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--- NEW FILE: gen_trainfile.pd ---
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#X text 95 228 <nr of tests> <nr of inputs> <nr of outputs>;
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#X text 197 262 should be trained;
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#X text 72 72 This abstraction generates a trainig file for ann_mlp
and ann_td.;
#X text 192 25 ::::_gen_trainfile_::::;
#X connect 0 0 19 0;
#X connect 12 0 17 0;
#X connect 15 0 21 0;
#X connect 18 0 7 0;
#X connect 19 0 23 0;
#X connect 19 1 24 0;
--- NEW FILE: test.txt ---
3 2 2
4 9
2 1
5 3
2 1
2 4
0 1