Mercurial > pylearn
comparison nnet_ops.py @ 382:b4efd192d880
Moved xent loss to nnet_ups
| author | Joseph Turian <turian@gmail.com> |
|---|---|
| date | Tue, 08 Jul 2008 01:58:16 -0400 |
| parents | e4473d9697d7 |
| children | 344d1f874af7 |
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| 381:e4473d9697d7 | 382:b4efd192d880 |
|---|---|
| 377 """ % dict(locals(), **sub) | 377 """ % dict(locals(), **sub) |
| 378 | 378 |
| 379 def crossentropy_softmax_1hot(x, y_idx, **kwargs): | 379 def crossentropy_softmax_1hot(x, y_idx, **kwargs): |
| 380 b = tensor.zeros_like(x[0,:]) | 380 b = tensor.zeros_like(x[0,:]) |
| 381 return crossentropy_softmax_1hot_with_bias(x, b, y_idx, **kwargs) | 381 return crossentropy_softmax_1hot_with_bias(x, b, y_idx, **kwargs) |
| 382 | |
| 383 def binary_crossentropy(output, target): | |
| 384 """ | |
| 385 Compute the crossentropy of binary output wrt binary target. | |
| 386 @note: We do not sum, crossentropy is computed by component. | |
| 387 @todo: Rewrite as a scalar, and then broadcast to tensor. | |
| 388 """ | |
| 389 return -(target * t.log(output) + (1 - target) * t.log(1 - output)) |