diff --git a/keras/src/layers/convolutional/conv2d.py b/keras/src/layers/convolutional/conv2d.py
index 24b47783b3c..ab51c40e67a 100644
--- a/keras/src/layers/convolutional/conv2d.py
+++ b/keras/src/layers/convolutional/conv2d.py
@@ -7,10 +7,10 @@ class Conv2D(BaseConv):
     """2D convolution layer.
 
     This layer creates a convolution kernel that is convolved with the layer
-    input over a single spatial (or temporal) dimension to produce a tensor of
-    outputs. If `use_bias` is True, a bias vector is created and added to the
-    outputs. Finally, if `activation` is not `None`, it is applied to the
-    outputs as well.
+    input over a 2D spatial (or temporal) dimension (height and width) to 
+    produce a tensor of outputs. If `use_bias` is True, a bias vector is created 
+    and added to the outputs. Finally, if `activation` is not `None`, it is 
+    applied to the outputs as well.
 
     Args:
         filters: int, the dimension of the output space (the number of filters
diff --git a/keras/src/layers/convolutional/conv3d.py b/keras/src/layers/convolutional/conv3d.py
index a4cb1c0b8f5..1fc533cfdc3 100644
--- a/keras/src/layers/convolutional/conv3d.py
+++ b/keras/src/layers/convolutional/conv3d.py
@@ -7,10 +7,10 @@ class Conv3D(BaseConv):
     """3D convolution layer.
 
     This layer creates a convolution kernel that is convolved with the layer
-    input over a single spatial (or temporal) dimension to produce a tensor of
-    outputs. If `use_bias` is True, a bias vector is created and added to the
-    outputs. Finally, if `activation` is not `None`, it is applied to the
-    outputs as well.
+    input over a 3D spatial (or temporal) dimension (width,height and depth) to 
+    produce a tensor of outputs. If `use_bias` is True, a bias vector is created 
+    and added to the outputs. Finally, if `activation` is not `None`, it is 
+    applied to the outputs as well.
 
     Args:
         filters: int, the dimension of the output space (the number of filters