diff --git a/kan/KANLayer.py b/kan/KANLayer.py
index fb35d1f1..2d461f69 100644
--- a/kan/KANLayer.py
+++ b/kan/KANLayer.py
@@ -28,7 +28,7 @@ class KANLayer(nn.Module):
         scale_base: 1D torch.float
             magnitude of the residual function b(x)
         scale_sp: 1D torch.float
-            mangitude of the spline function spline(x)
+            magnitude of the spline function spline(x)
         base_fun: fun
             residual function b(x)
         mask: 1D torch.float
diff --git a/kan/spline.py b/kan/spline.py
index 48e22508..e0c81e22 100644
--- a/kan/spline.py
+++ b/kan/spline.py
@@ -21,7 +21,7 @@ def B_batch(x, grid, k=0, extend=True, device='cpu'):
     Returns:
     --------
         spline values : 3D torch.tensor
-            shape (number of splines, number of B-spline bases (coeffcients), number of samples). The numbef of B-spline bases = number of grid points + k - 1.
+            shape (number of splines, number of B-spline bases (coefficients), number of samples). The number of B-spline bases = number of grid points + k - 1.
       
     Example
     -------
@@ -119,7 +119,7 @@ def curve2coef(x_eval, y_eval, grid, k, device="cpu"):
         k : int
             the piecewise polynomial order of splines.
         device : str
-            devicde
+            device
         
     Example
     -------