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simpleNN
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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](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
