Mercurial > pylearn

comparison cost.py @ 434:0f366ecb11ee

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log2->log in cost
author Olivier Breuleux <breuleuo@iro.umontreal.ca>
date Mon, 04 Aug 2008 16:21:59 -0400
parents 319bf28c2dd5
children 45879c1ecde7
comparison
equal deleted inserted replaced
415:319bf28c2dd5 434:0f366ecb11ee
6 6
7 def quadratic(target, output, axis=1): 7 def quadratic(target, output, axis=1):
8 return T.mean(T.sqr(target - output), axis) 8 return T.mean(T.sqr(target - output), axis)
9 9
10 def cross_entropy(target, output, axis=1): 10 def cross_entropy(target, output, axis=1):
11 return -T.mean(target * T.log2(output) + (1 - target) * T.log2(1 - output), axis=axis) 11 return -T.mean(target * T.log(output) + (1 - target) * T.log(1 - output), axis=axis)