Mercurial > pylearn
annotate cost.py @ 421:e01f17be270a
Kernel regression learning algorithm
| author | Yoshua Bengio <bengioy@iro.umontreal.ca> |
|---|---|
| date | Sat, 19 Jul 2008 10:11:22 -0400 |
| parents | 319bf28c2dd5 |
| children | 0f366ecb11ee |
| rev | line source |
|---|---|
| 413 | 1 """ |
| 2 Cost functions. | |
| 3 """ | |
| 4 | |
| 415 | 5 import theano.tensor as T |
| 6 | |
| 413 | 7 def quadratic(target, output, axis=1): |
| 8 return T.mean(T.sqr(target - output), axis) | |
| 9 | |
| 10 def cross_entropy(target, output, axis=1): | |
| 11 return -T.mean(target * T.log2(output) + (1 - target) * T.log2(1 - output), axis=axis) |