Mercurial > pylearn
changeset 448:0961d4b56ec5
Added some documentation
| author | Joseph Turian <turian@gmail.com> |
|---|---|
| date | Wed, 03 Sep 2008 17:08:54 -0400 |
| parents | 0392b666320a |
| children | 2bb67e978c28 |
| files | cost.py nnet_ops.py |
| diffstat | 2 files changed, 4 insertions(+), 0 deletions(-) [+] |
line wrap: on
line diff
--- a/cost.py Wed Aug 27 17:08:33 2008 -0400 +++ b/cost.py Wed Sep 03 17:08:54 2008 -0400 @@ -11,4 +11,7 @@ return T.mean(T.sqr(target - output), axis) def cross_entropy(target, output, axis=1): + """ + @todo: This is essentially duplicated as nnet_ops.binary_crossentropy + """ return -T.mean(target * T.log(output) + (1 - target) * T.log(1 - output), axis=axis)
--- a/nnet_ops.py Wed Aug 27 17:08:33 2008 -0400 +++ b/nnet_ops.py Wed Sep 03 17:08:54 2008 -0400 @@ -610,6 +610,7 @@ Compute the crossentropy of binary output wrt binary target. @note: We do not sum, crossentropy is computed by component. @todo: Rewrite as a scalar, and then broadcast to tensor. + @todo: This is essentially duplicated as cost.cross_entropy """ return -(target * tensor.log(output) + (1 - target) * tensor.log(1 - output))