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| author | Soumith Chintala <soumith@gmail.com> | 2017-02-22 20:25:32 +0300 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2017-02-22 20:25:32 +0300 |
| commit | 19bee86405a4c46458ccbf2d5b005be4e8a2672e (patch) | |
| tree | a93b408cdefd6b91715d2a43fc057db99e6ebec1 | |
| parent | 3e98a01ef457d486c5367cfe95ff93f51cfbd515 (diff) | |
| parent | 41178564c364ee9fba8986faf32f695ac5cad22d (diff) | |
Merge pull request #337 from brollb/patch-1
Fixed typo in docs
| -rw-r--r-- | README.md | 2 |
1 files changed, 1 insertions, 1 deletions
@@ -91,7 +91,7 @@ If you don't want to convert all modules you can pass a function as the third ar It will be called at each step, with a module that is currently converted. It is meant to exclude modules i.e. if it returns `true`, they will be left untouched, otherwise they will be subject to conversion. -`Note that you cannot do backward pass when using cuDNN and when your model has batch normaliation layers and is in evaluate mode.` +`Note that you cannot do backward pass when using cuDNN and when your model has batch normalization layers and is in evaluate mode.` ```lua net = nn.Sequential() |