Fix max_norm doc
@@ -17,6 +17,6 @@ model.add(Dense(64, kernel_constraint=max_norm(2.)))
## Available constraints
-- __max_norm__(m=2): maximum-norm constraint
+- __max_norm__(max_value=2, axis=0): maximum-norm constraint
- __non_neg__(): non-negativity constraint
- __unit_norm__(): unit-norm constraint, enforces the matrix to have unit norm along the last axis
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