fix: official pytorch tutorial sublinks

README.md

@@ -6,13 +6,13 @@ This is inspired by the famous [Awesome TensorFlow](https://github.com/jtoy/awes
 
 ## Tutorials
 - [Official PyTorch Tutorials](https://github.com/pytorch/tutorials)
-	1. [Deep Learning with PyTorch: a 60-minute blitz](Deep Learning with PyTorch.ipynb)
+	1. [Deep Learning with PyTorch: a 60-minute blitz](https://github.com/pytorch/tutorials/blob/master/Deep%20Learning%20with%20PyTorch.ipynb)
 		- A perfect introduction to PyTorch's torch, autograd, nn and optim APIs
-   		- If you are a former Torch user, you can check out this instead: [Introduction to PyTorch for former Torchies](Introduction to PyTorch for former Torchies.ipynb)
+   		- If you are a former Torch user, you can check out this instead: [Introduction to PyTorch for former Torchies](https://github.com/pytorch/tutorials/blob/master/Introduction%20to%20PyTorch%20for%20former%20Torchies.ipynb)
 	2. Custom C extensions
-   		- [Write your own C code that interfaces into PyTorch via FFI](Creating%20Extensions%20using%20FFI.md)
-	3. [Writing your own neural network module that uses numpy and scipy](Creating extensions using numpy and scipy.ipynb)
-	4. [Reinforcement (Q-)Learning with PyTorch](Reinforcement (Q-)Learning with PyTorch.ipynb)
+   		- [Write your own C code that interfaces into PyTorch via FFI](https://github.com/pytorch/tutorials/blob/master/Creating%20Extensions%20using%20FFI.md)
+	3. [Writing your own neural network module that uses numpy and scipy](https://github.com/pytorch/tutorials/blob/master/Creating%20extensions%20using%20numpy%20and%20scipy.ipynb)
+	4. [Reinforcement (Q-)Learning with PyTorch](https://github.com/pytorch/tutorials/blob/master/Reinforcement%20(Q-)Learning%20with%20PyTorch.ipynb)
 - [Official PyTorch Examples](https://github.com/pytorch/examples)
 	- MNIST Convnets
 	- Word level Language Modeling using LSTM RNNs