How does ill-conditioning affect NN training?


Numerical condition is one of the most fundamental and important concepts in
numerical analysis. Numerical condition affects the speed and accuracy of
most numerical algorithms. Numerical condition is especially important in
the study of neural networks because ill-conditioning is a common cause of
slow and inaccurate results from backprop-type algorithms. For more
information, see:
ftp://ftp.sas.com/pub/neural/illcond/illcond.html

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Last Update October 12 2008 @ 00:10 AM