diff --git a/python/tvm/relay/frontend/keras.py b/python/tvm/relay/frontend/keras.py
index 16764cd58110..205b2be490a0 100644
--- a/python/tvm/relay/frontend/keras.py
+++ b/python/tvm/relay/frontend/keras.py
@@ -120,6 +120,8 @@ def _convert_activation(
     if act_type == "hard_sigmoid":
         x = (_expr.const(0.2, dtype="float32") * inexpr) + _expr.const(0.5, dtype="float32")
         return _op.clip(x, a_min=0.0, a_max=1.0)
+    if act_type == "swish":
+        return inexpr * _op.sigmoid(inexpr)
 
     raise tvm.error.OpNotImplemented(f"Operator {act_type} is not supported in frontend Keras.")
 
diff --git a/tests/python/frontend/keras/test_forward.py b/tests/python/frontend/keras/test_forward.py
index cdc253bc5d04..80460f6063d7 100644
--- a/tests/python/frontend/keras/test_forward.py
+++ b/tests/python/frontend/keras/test_forward.py
@@ -66,7 +66,7 @@ def pytest_generate_tests(metafunc):
 # Scenarios:
 # - classic keras, using keras from "import keras"
 # - tensorflow keras, using keras from "from tensorflow import keras as tf_keras"
-USING_CALSSIC_KERAS = ("keras", {"keras_mod": keras})
+USING_CLASSIC_KERAS = ("keras", {"keras_mod": keras})
 USING_TENSORFLOW_KERAS = ("tf_keras", {"keras_mod": tf_keras})
 
 
@@ -134,7 +134,7 @@ def get_mobilenet(keras_mod):
 class TestKeras:
     """Keras test"""
 
-    scenarios = [USING_CALSSIC_KERAS, USING_TENSORFLOW_KERAS]
+    scenarios = [USING_CLASSIC_KERAS, USING_TENSORFLOW_KERAS]
 
     def test_forward_merge(self, keras_mod):
         """test_forward_merge"""
@@ -213,6 +213,7 @@ def test_forward_activations(self, keras_mod):
             keras_mod.layers.Activation("tanh"),
             keras_mod.layers.Activation("linear"),
             keras_mod.layers.Activation("selu"),
+            keras_mod.layers.Activation("swish"),
             keras_mod.layers.ReLU(),
             keras_mod.layers.ReLU(max_value=6.0),
             keras_mod.layers.ReLU(max_value=6.0, threshold=0.0),