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| -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() |