diff --git a/tutorials/01-basics/feedforward_neural_network/main.py b/tutorials/01-basics/feedforward_neural_network/main.py
index 0c766a7e..8ac86bfd 100644
--- a/tutorials/01-basics/feedforward_neural_network/main.py
+++ b/tutorials/01-basics/feedforward_neural_network/main.py
@@ -16,12 +16,12 @@
 learning_rate = 0.001
 
 # MNIST dataset 
-train_dataset = torchvision.datasets.MNIST(root='../../data', 
+train_dataset = torchvision.datasets.MNIST(root=r'../../data', 
                                            train=True, 
                                            transform=transforms.ToTensor(),  
                                            download=True)
 
-test_dataset = torchvision.datasets.MNIST(root='../../data', 
+test_dataset = torchvision.datasets.MNIST(root=r'../../data', 
                                           train=False, 
                                           transform=transforms.ToTensor())
 
@@ -91,4 +91,4 @@ def forward(self, x):
     print('Accuracy of the network on the 10000 test images: {} %'.format(100 * correct / total))
 
 # Save the model checkpoint
-torch.save(model.state_dict(), 'model.ckpt')
\ No newline at end of file
+torch.save(model.state_dict(), 'model.ckpt')