initial

HTRU2/README.md

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+Under preparation.

LICENSE

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 state the exclusion of warranty; and each file should have at least
 the "copyright" line and a pointer to where the full notice is found.
 
-    {one line to give the program's name and a brief idea of what it does.}
-    Copyright (C) {year}  {name of author}
+    <one line to give the program's name and a brief idea of what it does.>
+    Copyright (C) <year>  <name of author>
 
     This program is free software: you can redistribute it and/or modify
     it under the terms of the GNU General Public License as published by
@@ -652,7 +652,7 @@ Also add information on how to contact you by electronic and paper mail.
   If the program does terminal interaction, make it output a short
 notice like this when it starts in an interactive mode:
 
-    {project}  Copyright (C) {year}  {fullname}
+    <program>  Copyright (C) <year>  <name of author>
     This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
     This is free software, and you are welcome to redistribute it
     under certain conditions; type `show c' for details.

README.md

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-# SNNs
-Tutorials and implementations for "Self-normalizing networks"
+# SelfNormalizingNetworks
+Tutorials and implementations for "Self-normalizing networks"(SNNs) as suggested by Klambauer et al. (2017). 
+
+## Versions
+- Tutorials: Python 3.5. and Tensorflow 1.1.
+- Basic python functions: Python 3.5. and Tensorflow 1.1.
+- Other: Python 3.5. and Tensorflow 0.11
+
+## Tutorials
+- Multilayer Perceptron ([notebook](https://github.com/bioinf-jku/SelfNormalizingNetworks/blob/master/SelfNormalizingNetworks_MLP_MNIST.ipynb))
+- Convolutional Neural Network ([notebook](https://github.com/bioinf-jku/SelfNormalizingNetworks/blob/master/SelfNormalizingNetworks_CNN_MNIST.ipynb))
+
+## Design novel SELU functions
+- How to obtain the SELU parameters alpha and lambda for arbitrary fixed points ([notebook](https://github.com/bioinf-jku/SelfNormalizingNetworks/blob/master/getSELUparameters.ipynb))
+
+## Basic python functions to implement SNNs
+are provided as code chunks here: [selu.py](https://github.com/bioinf-jku/SelfNormalizingNetworks/blob/master/selu.py)
+
+## Experiments on UCI, Tox21 and HTRU2 data sets
+Under preparation.