Update README.md

Author: alrojo

README.md

@@ -5,6 +5,12 @@ All exercises are designed to be run from a CPU on a laptop, but can be accelera
 
 Lab 1-4 was used in the [Deep Learning using TensorFlow](http://www.eventbrite.com/e/deep-learning-using-tensorflow-tickets-27071720244#) in London by Nvidia and Persontyle
 
+## Credits
+
+Labs 1, 2, 3 and 5 have been translated from Theano/Lasagne with minor modifications from the following repositories: [Nvidia Summer Camp](https://github.com/DeepLearningDTU/nvidia_deep_learning_summercamp_2016) and [02456 deep learning](https://github.com/DeepLearningDTU/02456-deep-learning). Original authors: [skaae](https://github.com/skaae), [casperkaae](https://github.com/casperkaae) and [larsmaaloee](https://github.com/larsmaaloee).
+
+Thanks to professor [Ole Winther](http://cogsys.imm.dtu.dk/staff/winther/) for supervision and sponsoring the labs.
+
 ## Setup and Installation
 
 Guides for downloading and installing TensorFlow on Linux, OSX and Windows using Docker can be found [here](https://github.com/alrojo/tensorflow-tutorial/tree/master/download-and-setup).
@@ -40,9 +46,3 @@ Compete in the kaggle competition [Leaf Classification](https://www.kaggle.com/c
 Unsupervised learning with autoencoder (AE) reconstructing the MNIST from only two latent variables.
 
 Optional reading material from [deeplearningbook.org](http://www.deeplearningbook.org/contents/autoencoders.html) chapter 14.
-
-## Credits
-
-Labs 1, 2, 3 and 5 have been translated from Theano/Lasagne with minor modifications from the following repositories: [Nvidia Summer Camp](https://github.com/DeepLearningDTU/nvidia_deep_learning_summercamp_2016) and [02456 deep learning](https://github.com/DeepLearningDTU/02456-deep-learning). Original authors: [skaae](https://github.com/skaae), [casperkaae](https://github.com/casperkaae) and [larsmaaloee](https://github.com/larsmaaloee).
-
-Thanks to professor [Ole Winther](http://cogsys.imm.dtu.dk/staff/winther/) for supervision and sponsoring the labs.