I'm starting to learn about neural networks and hoping some stacks
are out
there somewhere. Any leads are appreciated!
No stack... this is too specialized a topic.
<http://revolution.lexicall.org/wiki/tiki-index.php?
page=SoftwareModelisation>
If you are complete beginner, best way to learn is to download tLearn.
<http://crl.ucsd.edu/innate/tlearn.html>
It's quite intuitive to use. You define a network with a config file
like this:
NODES:
nodes = 161
inputs = 105
outputs = 61
output nodes are 101-161
CONNECTIONS:
groups = 0
1-100 from i1-i105
101-161 from 1-100
1-161 from 0
SPECIAL:
selected = 1-100
weight_limit = 0.2
There is an associated book: Plunkett, K., & Elman, J. L. (1997).
Exercises in rethinking innateness. Cambridge, MA: MIT Press. which
takes you step by step, from complete beginner to intermediate. It is
found in most of the academic bookstores.... and hum, if you use
google you can find it for free on the web:
http://crl.ucsd.edu/~elman/Courses/cog202/tlearn.html
http://cspeech.ucd.ie/~connectionism/
http://www.cogsci.ucsd.edu/~rik/courses/readings/plunkett97-RIEg/
If are serious about "understanding" the contribution of neural
networks, the two "bibles" are (and remain):
McClelland, J. L., Rumelhart, D. E., & Group, t. P. R. (1986).
Parallel Distributed Processing. Volume 2. Cambridge, MA: MIT Press..
Rumelhart, D. E., McClelland, J. L., and the PDP Research Group.
(1986). Parallel Distributed Processing: Explorations in the
microstructure of cognition: Volume 1. Foundations. Cambridge, MA:
MIT Press..
There was an accompanying exercise book:
McClelland, J. L., Rumelhart, D. E., & Hinton, G. E. (1986). The
appeal of parallel distributed processing. In D. E. Rumelhart & J. L.
McClelland (Eds.), Parallel distributed processing: Explorations in
the microstructure of cognition. Cambridge, MA: MIT Press..
Which I strongly recommend.
The book advertised at:
http://www.cnbc.cmu.edu/Resources/PDP++//PDP++.html
Is also excellent, but this is for a quite advanced public. The
software presented there is for a *very* advanced public (you should
understand the basics of neural networks before using it).
If you need something more specific, contact me privately (I have
been teaching connectionism in the past, from a cognitive psychology
point of view... I even have taken Jay McClelland for a tour of
Brussels). I have a few lecture slides and handouts with exercises
and solutions in French and English as well.
Ah yes, Why do you want to learn about neural networks. They were hot
in the 80s, but nowadays most researchers recognize that some
"structure" facilitates the learning.
Marielle
------------------------------------------------------------------------
-------------------
Marielle Lange (PhD), Psycholinguist
Alternative emails: [EMAIL PROTECTED], [EMAIL PROTECTED]
Homepage: http://homepages.lexicall.org/mlange/
Lexicall: http://lexicall.org
Revolution-education: http://revolution.lexicall.org
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