fix bilinear doc

1 files changed, 2 insertions, 2 deletions

diff --git a/doc/simple.md b/doc/simple.md
index 3058c5e..302e4d8 100644
--- a/doc/simple.md
+++ b/doc/simple.md
@@ -139,7 +139,7 @@ module = nn.Bilinear(inputDimension1, inputDimension2, outputDimension, [bias =
 ```
 
 Applies a bilinear transformation to the incoming data, i.e. `\forall k: y_k = x_1 A_k x_2 + b`. The `input` tensor given in `forward(input)` is a table containing both inputs `x_1` and `x_2`, which are tensors of size `N x inputDimension1`
-and `N x inputDimension1`, respectively. The layer can be trained without biases by setting `bias = false`.
+and `N x inputDimension2`, respectively. The layer can be trained without biases by setting `bias = false`.
 
 You can create a layer in the following way:
 
@@ -1479,4 +1479,4 @@ Selects the highest `k` values for each feature in the feature map sequence prov
 If `factor` is not provided, `k = minK`, else the value of k is calculated with:
 ```lua
 k = math.max(minK, math.ceil(factor*nInputFrame)))
-```
\ No newline at end of file
+```