To be presented at Beijing (ACML 2018)
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DeepCWC.m
README.md
getDeepModel.m
getLayerName.m
loadCNNH5Data_Split.m
loadFashionMNIST_Split.m
prepareBalancedTraining.m
runNTrainings_Split.m

README.md

Code and results obtained on Fashion-MNIST

This paper will be presented at The 10th Asian Conference on Machine Learning, Beijing (ACML 2018). Contact us if you need the preprocessed data to run the code.

Cite our pre-printed paper

@article{Zeng2018Deep,
  title={Deep Collaborative Weight-based Classification},
  author={Zeng, Shaoning and Zhang, Bob and Gou, Jianping},
  journal={arXiv preprint arXiv:1802.07589},
  year={2018}
}

The formal version of conference paper is coming soon.

Thanks Xing Lin et al. (UCLA) for citing our paper in their Science paper "All-optical machine learning using diffractive deep neural networks" - http://science.sciencemag.org/content/361/6406/1004 (Published at Sep. 7, 2018).