diff --git a/MLlib/loss_func.py b/MLlib/loss_func.py
index 4020c9d..cf82f3f 100644
--- a/MLlib/loss_func.py
+++ b/MLlib/loss_func.py
@@ -38,3 +38,15 @@ def derivative(X,Y,W):
 		AbsError=(np.dot(X,W).T-Y)
 		return np.dot(np.divide(AbsError,np.absolute(AbsError),out=np.zeros_like(AbsError), where=(np.absolute(AbsError))!=0),X).T/M
 
+class SparseCategoricalCrossEntropy():
+    @staticmethod        
+    def loss(X, Y, W):
+        M=X.shape[0]
+        H=sigmoid(np.dot(X,W).T)*(len(Y)-1)
+        return (-1/M)*np.sum(np.multiply(Y,np.log(H)))
+
+    @staticmethod
+    def derivative(X, Y, W):
+        M=X.shape[0]
+        H=sigmoid(X)
+        return (1/M)*(np.dot(X.T, (H-T).T))
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