diff --git a/python/mxnet/gluon/nn/basic_layers.py b/python/mxnet/gluon/nn/basic_layers.py
index 0f035eec31d3..ff6bc18551a5 100644
--- a/python/mxnet/gluon/nn/basic_layers.py
+++ b/python/mxnet/gluon/nn/basic_layers.py
@@ -154,7 +154,7 @@ class Dense(HybridBlock):
     r"""Just your regular densely-connected NN layer.
 
     `Dense` implements the operation:
-    `output = activation(dot(input, weight) + bias)`
+    `output = activation(dot(input, weight.T) + bias)`
     where `activation` is the element-wise activation function
     passed as the `activation` argument, `weight` is a weights matrix
     created by the layer, and `bias` is a bias vector created by the layer