diff --git a/README.md b/README.md
index 09f15b3..1d45599 100755
--- a/README.md
+++ b/README.md
@@ -27,6 +27,7 @@ Following [[C. Trabelsi et al., International Conference on Learning Representat
 * Relu (ℂRelu)
 * Sigmoid
 * Tanh
+* softmax
 * Dropout2d
 * BatchNorm1d (Naive and Covariance approach)
 * BatchNorm2d (Naive and Covariance approach)
diff --git a/complexPyTorch/complexFunctions.py b/complexPyTorch/complexFunctions.py
index 5910058..9d15c45 100755
--- a/complexPyTorch/complexFunctions.py
+++ b/complexPyTorch/complexFunctions.py
@@ -15,6 +15,7 @@
     relu,
     sigmoid,
     tanh,
+    softmax,
 )
 
 
@@ -209,3 +210,11 @@ def complex_dropout2d(inp, p=0.5, training=True):
     mask = dropout2d(mask, p, training) * 1 / (1 - p)
     mask.type(inp.dtype)
     return mask * inp
+
+def complex_softmax(inp, dim):
+    """
+    Perform complex softmax.
+    """
+    real_softmax = softmax(inp.real, dim=dim)
+    imag_softmax = softmax(inp.imag, dim=dim)
+    return real_softmax.type(torch.complex64) + 1j * imag_softmax.type(torch.complex64)