train on the fly has an autotrainer

svn path=/trunk/externals/ann/; revision=3023

1 files changed, 59 insertions, 24 deletions

diff --git a/helps/help-ann_mlp.pd b/helps/help-ann_mlp.pd
index 63cd51e..6f59c27 100755
--- a/helps/help-ann_mlp.pd
+++ b/helps/help-ann_mlp.pd
@@ -1,5 +1,5 @@
-#N canvas 117 93 838 448 12;

-#N canvas 181 295 623 324 creation 0;

+#N canvas 99 68 846 456 12;

+#N canvas 181 295 627 328 creation 0;

 #X obj 52 235 outlet;

 #X msg 49 10 create;

 #X msg 72 68 create 2 1;

@@ -20,7 +20,7 @@
 #X connect 4 0 0 0;

 #X connect 5 0 0 0;

 #X restore 93 68 pd creation examples;

-#N canvas 136 60 724 352 run 0;

+#N canvas 136 60 728 356 run 0;

 #X obj 90 219 outlet;

 #X msg 123 69 0 1;

 #X msg 124 92 1 0;

@@ -150,7 +150,7 @@ don't use the same output for 2 meanings \, use 2 outputs intead \,
 #X text 270 353 an interface to fann classes (http://fann.sourceforge.net)

 ;

 #X text 272 371 by Davide Morelli - info@davidemorelli.it;

-#N canvas 468 204 572 403 train 0;

+#N canvas 468 204 580 411 train 0;

 #X obj 32 241 outlet;

 #N canvas 0 0 458 308 train 0;

 #N canvas 8 48 990 509 build 0;

@@ -303,17 +303,16 @@ ready \, write to a file \, edit the file adding a line at the beginning
 #X obj 56 139 outlet;

 #X connect 1 0 4 0;

 #X restore 79 103 pd train you net using a train file;

-#N canvas 100 44 884 550 train 0;

-#X obj 57 397 outlet;

+#N canvas 120 72 892 558 train 0;

+#X obj 55 487 outlet;

 #X msg 60 31 train;

 #X text 126 33 1- set the train mode;

-#X text 116 81 2- build a list with inputs and desired output;

-#X text 139 101 be shure you provide the correct numbers of inputs

+#X text 192 120 be shure you provide the correct numbers of inputs

 and outputs;

 #X obj 168 202 pack s f f f;

 #X obj 197 248 pack f f f;

 #X obj 168 225 unpack s f f f;

-#X msg 192 374 run;

+#X msg 190 464 run;

 #X obj 198 170 tgl 15 0 empty empty in1 0 -6 0 8 -262144 -1 -1 0 1

 ;

 #X obj 228 170 tgl 15 0 empty empty in2 0 -6 0 8 -262144 -1 -1 0 1

@@ -322,27 +321,63 @@ and outputs;
 1;

 #X obj 148 169 bng 15 250 50 0 empty empty train! 0 -6 0 8 -262144

 -1 -1;

-#X text 299 183 set inputs and output value \, then send the list clicking

+#X text 312 160 set inputs and output value \, then send the list clicking

 on the "train!" bang;

 #X msg 316 261 create 2 1;

-#X text 229 374 3- when you are ready switch again to run mode before

+#X text 227 464 3- when you are ready switch again to run mode before

 exiting;

 #X text 315 226 NOTE1: before training with this example you should

 have created a nn with 2 ins and 1 out with a command like:;

-#X text 311 291 NOTE2: while training the right outlet gives you the

-mean square error after each training pattern.;

-#X connect 1 0 0 0;

-#X connect 5 0 7 0;

+#N canvas 255 158 517 436 autotrain 0;

+#X obj 89 286 outlet;

+#X obj 85 87 metro 10;

+#X obj 85 38 tgl 15 0 empty empty toggle_training 0 -6 0 8 -262144

+-1 -1 0 1;

+#X msg 101 192 0 0 0;

+#X msg 126 215 0 1 1;

+#X msg 82 168 1 0 1;

+#X msg 150 244 1 1 1;

+#X obj 82 112 random 4;

+#X obj 83 138 sel 0 1 2 3;

+#X obj 226 125 f 0;

+#X obj 256 124 + 1;

+#X floatatom 226 149 8 0 0 0 - - -;

+#X text 113 36 <--train OR untile mse is low enough;

+#X text 143 51 (you must be in train mode);

+#X connect 1 0 7 0;

+#X connect 1 0 9 0;

+#X connect 2 0 1 0;

+#X connect 3 0 0 0;

+#X connect 4 0 0 0;

+#X connect 5 0 0 0;

 #X connect 6 0 0 0;

-#X connect 7 1 6 0;

-#X connect 7 2 6 1;

-#X connect 7 3 6 2;

-#X connect 8 0 0 0;

-#X connect 9 0 5 1;

-#X connect 10 0 5 2;

-#X connect 11 0 5 3;

-#X connect 12 0 5 0;

-#X connect 14 0 0 0;

+#X connect 7 0 8 0;

+#X connect 8 0 5 0;

+#X connect 8 1 3 0;

+#X connect 8 2 4 0;

+#X connect 8 3 6 0;

+#X connect 9 0 10 0;

+#X connect 9 0 11 0;

+#X connect 10 0 9 1;

+#X restore 224 363 pd autotrain OR;

+#X text 172 101 2a)- build a list with inputs and desired output;

+#X text 336 291 NOTE2: while training the right outlet gives you the

+mean square error after each training pattern. continue training until

+mse is low enough.;

+#X text 221 383 2b) use autotrain for the OR function;

+#X connect 1 0 0 0;

+#X connect 4 0 6 0;

+#X connect 5 0 0 0;

+#X connect 6 1 5 0;

+#X connect 6 2 5 1;

+#X connect 6 3 5 2;

+#X connect 7 0 0 0;

+#X connect 8 0 4 1;

+#X connect 9 0 4 2;

+#X connect 10 0 4 3;

+#X connect 11 0 4 0;

+#X connect 13 0 0 0;

+#X connect 16 0 0 0;

 #X restore 68 50 pd train it on the fly;

 #X text 62 5 there are 2 ways to train your net;

 #X text 253 47 on the fly is simpler;