diff --git a/mnist/main.py b/mnist/main.py
index 7d7899d9..c03c35ca 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)
@@ -76,8 +77,8 @@ def main():
                         help='input batch size for training (default: 64)')
     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)')
+    parser.add_argument('--epochs', type=int, default=10, metavar='N',
+                        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',
diff --git a/pytorch-example b/pytorch-example
new file mode 160000
index 00000000..787e7533
--- /dev/null
+++ b/pytorch-example
@@ -0,0 +1 @@
+Subproject commit 787e75331fedbd3331a96f4ce64be609ca5df2e7