poppingtonic / SNNs

Tutorials and implementations for "Self-normalizing networks"

SelfNormalizingNetworks

Tutorials and implementations for "Self-normalizing networks"(SNNs) as suggested by Klambauer et al. (arXiv pre-print).

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)
• Convolutional Neural Network (notebook)

Design novel SELU functions

• How to obtain the SELU parameters alpha and lambda for arbitrary fixed points (notebook)

Basic python functions to implement SNNs

are provided as code chunks here: selu.py

Experiments on UCI, Tox21 and HTRU2 data sets

Under preparation.