[PD-cvs] externals/ann/examples/ann_mlp_example2 README.txt, NONE, 1.1 cellulaSuono.pd, NONE, 1.1 complex.net, NONE, 1.1 complex.txt, NONE, 1.1 example2.pd, NONE, 1.1 stereo.pd, NONE, 1.1

Wed May 18 17:55:09 CEST 2005

Update of /cvsroot/pure-data/externals/ann/examples/ann_mlp_example2
In directory sc8-pr-cvs1.sourceforge.net:/tmp/cvs-serv21248

Added Files:
	README.txt cellulaSuono.pd complex.net complex.txt example2.pd 
	stereo.pd 
Log Message:
new examples for ann_mlp

--- NEW FILE: example2.pd ---
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#X text 359 281 <- right border;
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#X text 34 19 weightened random values;
#X text 32 8 which harmonic am I?;
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#X text 128 29 here is where I connect to EyesWeb to move the main
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#X text 463 188 <-- here is the main volue control;
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#X text 337 49 example "stolen" from pmpd examples. move the main cell
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1st to 50th) \, the velo of a cell is its volume also.;
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#X text 161 408 calm & close;
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#X text 148 15 1- create the ann;
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#X text 200 242 training on files with many patterns may take minutes
\, please be patient.;
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#X text 69 76 due to the complexity of the input and output data you
should change the default training parameters:;
#X text 219 134 smaller cycle;
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#X text 66 77 here go the outputs;
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#X text 156 406 todo: write header (a line at the beginning of file
with 3 int: how many tests \, num_input \, num_output);
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#X text 293 224 comment;
#N canvas 262 68 635 591 README 0;
#X text 11 63 how to use: 1) modify [pd inputs] and [ps outputs] inserting
[r] objects to receive input data \, and modify [pack]s to handle the
right number of inputs 2) do the same with [pd outputs] 3) click on
reset 4) toggle ON and start collectng data 5) when you are ready toggle
OFF 6) edit [write filename cr( with the actual filename you want for
your training data (always keep the cr after the filename) 7) open
the file with training data 8) add a line at the beginning and write
3 integers: the 1st is the number of training dataset written (see
"how many datasets" number box) \, the 2nd is how many inputs your
ann has \, the 3th is how many outputs e.g. i collected 100 training
snapshots \, for a ann with 10 ins and 2 outs I write: 100 10 2 at
the very beginning of the file now the training file is ready and can
be read from nn via train-on-file command;
#X text 143 489 please help me getting this patch more usable: - how
to add a line at the very beginning of a text file after i have filled
it? - how to manage inputs and outputs of different sized without forcing
the user to edit the patch?;
#X text 9 7 this tricky patch is usefull to write a file to train ann
and is intended to be used with the nn external;
#X restore 33 13 pd README;
#X text 516 7 by davide morelli info at davidemorelli.it;
#X text 106 14 <--readme!;
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#X msg 368 328 write complex.txt cr;
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#X text 431 270 sx;
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#X text 566 269 chaos;
#X text 635 269 calm;
#X text 434 171 4 outputs: using keyboard: asdf: a=sx-ness \, s=dx-ness
\, d=chaos-ness \, f=calm-ness;
#X text 363 348 remember to add a line at the beginning of the file
with 3 integers... how_many_patterns 20 4 ...see README;
#X text 142 308 <--we have 20 inputs;
#X text 242 283 <--we have 4 outputs;
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--- NEW FILE: README.txt ---
example 2: a more complex use of ann_mlp

GEM and pmpd are needed to run this example

start example2.pd

start GEM rendering. 
see how the cursor is locked to the great red ball 
and how you can push the 6 small balls.
each small ball has associated a sine wave
its volume = its velocity

if you want to train the net using different meanings from mine
you can write a testfile or train the net on the fly or both 
(train on file then refine on the fly)

training on the fly is simpler

training is a bit tricky but might be more efficient (less error in the nn)

to write a testfile:
1)toggle ON in [pd write trainfile]
2)record a list of patterns
3)toggle OFF when you are ready
4)write to a file
5)edit the file adding a line with 3 integers
6)change training parameters (from the defaul to more flexible ones)
I now suggest to lower pd's process priority to normal 
because the training process blocks pd and may slow down your computer
7) start trainign from file. this will take a long time, 
wait for the message in console for the training to be completed
8) now you can activate the metro and run the net and see how it responds.

--- NEW FILE: cellulaSuono.pd ---
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#X text 41 246 if input is near 0 it is a low note then i give dark
color \, if near 1 it is a high one then give bright red color;
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#X text 41 17 todo: invece di usare un sinusoide casuale usare un campione
;
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#X text 385 222 which harmonic am I?;
#X text 292 280 <-- base frequency = A;
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#X text 32 375 TODO: quadriphony;
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