Mercurial > pylearn
view cost.py @ 421:e01f17be270a
Kernel regression learning algorithm
author | Yoshua Bengio <bengioy@iro.umontreal.ca> |
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date | Sat, 19 Jul 2008 10:11:22 -0400 |
parents | 319bf28c2dd5 |
children | 0f366ecb11ee |
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""" Cost functions. """ import theano.tensor as T def quadratic(target, output, axis=1): return T.mean(T.sqr(target - output), axis) def cross_entropy(target, output, axis=1): return -T.mean(target * T.log2(output) + (1 - target) * T.log2(1 - output), axis=axis)