diff --git a/mnist/main.py b/mnist/main.py
index 7d7899d9..df88f40d 100644
--- a/mnist/main.py
+++ b/mnist/main.py
@@ -22,6 +22,7 @@ def forward(self, x):
         x = self.conv1(x)
         x = F.relu(x)
         x = self.conv2(x)
+	x = F.relu(x)
         x = F.max_pool2d(x, 2)
         x = self.dropout1(x)
         x = torch.flatten(x, 1)
@@ -77,7 +78,7 @@ def main():
     parser.add_argument('--test-batch-size', type=int, default=1000, metavar='N',
                         help='input batch size for testing (default: 1000)')
     parser.add_argument('--epochs', type=int, default=14, metavar='N',
-                        help='number of epochs to train (default: 10)')
+                        help='number of epochs to train (default: 14)')
     parser.add_argument('--lr', type=float, default=1.0, metavar='LR',
                         help='learning rate (default: 1.0)')
     parser.add_argument('--gamma', type=float, default=0.7, metavar='M',
@@ -94,7 +95,6 @@ def main():
                         help='For Saving the current Model')
     args = parser.parse_args()
     use_cuda = not args.no_cuda and torch.cuda.is_available()
-
     torch.manual_seed(args.seed)
 
     device = torch.device("cuda" if use_cuda else "cpu")
@@ -132,3 +132,30 @@ def main():
 
 if __name__ == '__main__':
     main()
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