[PD-cvs] externals/ann/helps help-ann_mlp.pd,1.1,1.2

[dmorelli]

Update of /cvsroot/pure-data/externals/ann/helps
In directory sc8-pr-cvs1.sourceforge.net:/tmp/cvs-serv30007

Modified Files:
	help-ann_mlp.pd 
Log Message:
train on the fly has an autotrainer

Index: help-ann_mlp.pd
===================================================================
RCS file: /cvsroot/pure-data/externals/ann/helps/help-ann_mlp.pd,v
retrieving revision 1.1
retrieving revision 1.2
diff -C2 -d -r1.1 -r1.2
*** help-ann_mlp.pd	18 May 2005 15:57:32 -0000	1.1
--- help-ann_mlp.pd	19 May 2005 08:52:26 -0000	1.2
***************
*** 1,4 ****
! #N canvas 117 93 838 448 12;
! #N canvas 181 295 623 324 creation 0;
  #X obj 52 235 outlet;
  #X msg 49 10 create;
--- 1,4 ----
! #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;
***************
*** 21,25 ****
  #X connect 5 0 0 0;
  #X restore 93 68 pd creation examples;
! #N canvas 136 60 724 352 run 0;
  #X obj 90 219 outlet;
  #X msg 123 69 0 1;
--- 21,25 ----
  #X connect 5 0 0 0;
  #X restore 93 68 pd creation examples;
! #N canvas 136 60 728 356 run 0;
  #X obj 90 219 outlet;
  #X msg 123 69 0 1;
***************
*** 151,155 ****
  ;
  #X text 272 371 by Davide Morelli - info at davidemorelli.it;
! #N canvas 468 204 572 403 train 0;
  #X obj 32 241 outlet;
  #N canvas 0 0 458 308 train 0;
--- 151,155 ----
  ;
  #X text 272 371 by Davide Morelli - info at davidemorelli.it;
! #N canvas 468 204 580 411 train 0;
  #X obj 32 241 outlet;
  #N canvas 0 0 458 308 train 0;
***************
*** 304,318 ****
  #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;
  #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
  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 obj 198 170 tgl 15 0 empty empty in1 0 -6 0 8 -262144 -1 -1 0 1
  ;
--- 304,317 ----
  #X connect 1 0 4 0;
  #X restore 79 103 pd train you net using a train file;
! #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 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 190 464 run;
  #X obj 198 170 tgl 15 0 empty empty in1 0 -6 0 8 -262144 -1 -1 0 1
  ;
***************
*** 323,347 ****
  #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
  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
  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;
  #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 restore 68 50 pd train it on the fly;
  #X text 62 5 there are 2 ways to train your net;
--- 322,382 ----
  #X obj 148 169 bng 15 250 50 0 empty empty train! 0 -6 0 8 -262144
  -1 -1;
! #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 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:;
! #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 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;