Add Pytorch redirection in README

Author: AntoinePrv

pytorch/README.md

@@ -1,12 +1,5 @@
 # PyTorch tutorial
-## Antoine Prouvost
 
-Put your understanding of deep learning into practice with (one of) the most flexible deep learning framework.
-
-This interactive tutorial will show you how to implement a neural network along with some theoretical reminders, practical tips, and suggested code workflows.
-At first, PyTorch seems similar to Numpy, optimized high level numerical operations on arrays. This tutorial will show the three main components that makes PyTorch a dedicated Deep Learning framework, namely:
-  - **GPU acceleration**, _i.e._ the ability do run parallel computation on a graphic card;
-  - **Automatic differentiation**, _i.e._ an algorithm to automatically compute the gradients at a given point;
-  - **A neural network API**, _i.e._ a set of classes and functions defining common deep learning abstractions, such as layers, datasets, and first order optimization algorithms.
-
-PyTorch is both efficient in term of computations, and as little complexity for the user. As an exercise, we will use it to train a convolutional neural network for digit recognition.
+The tutorial has been moved. Please follow links below for the ressources:
+  - [slides](https://www.prouvost.dev/tuto/pytorch/introduction.pdf)
+  - [notebook](https://nbviewer.jupyter.org/urls/www.prouvost.dev/tuto/pytorch/tutorial.ipynb)