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SimpleNN

SimpleNN is a simple package used for training Convolutional Neural Network (CNN) with following supports:

  • MATLAB/Octave package
  • Python (implemented in Tensorflow)

Currently, both implementations support two optimization methods: Newton method and stochastic gradient method (SG). The implementation document of Newton method is available at https://www.csie.ntu.edu.tw/~cjlin/papers/cnn/newton-CNN.pdf.

Authors:

  • MATLAB/Octave: CHIEN-CHIH WANG, KENT LOONG TAN, CHIH-JEN LIN
  • Python: PENGRUI QUAN, CHIH-JEN LIN

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  • Python 56.3%
  • MATLAB 39.8%
  • Cuda 3.3%
  • Other 0.6%