fix doc
diff --git a/docs/sources/layers/noise.md b/docs/sources/layers/noise.md
index ef2124b7bdc..9589dc88435 100644
--- a/docs/sources/layers/noise.md
+++ b/docs/sources/layers/noise.md
@@ -2,7 +2,7 @@
 
 ## GaussianNoise
 ```python
-keras.layers.core.GaussianNoise(sigma)
+keras.layers.noise.GaussianNoise(sigma)
 ```
 Apply to the input an additive zero-centred gaussian noise with standard deviation `sigma`. This is useful to mitigate overfitting (you could see it as a kind of random data augmentation). Gaussian Noise (GS) is a natural choice as corruption process for real valued inputs.
 
@@ -16,4 +16,4 @@ The gaussian noise is only added at training time.
 
     - __sigma__: float, standard deviation of the noise distribution.
 
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+---
