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Title: np2016/Caffe at master · bsmagic/np2016 · GitHub

Open Graph Title: np2016/Caffe at master · bsmagic/np2016

X Title: np2016/Caffe at master · bsmagic/np2016

Description: 对血常规检验报告的 OCR 识别、深度学习与分析。. Contribute to bsmagic/np2016 development by creating an account on GitHub.

Open Graph Description: 对血常规检验报告的 OCR 识别、深度学习与分析。. Contribute to bsmagic/np2016 development by creating an account on GitHub.

X Description: 对血常规检验报告的 OCR 识别、深度学习与分析。. Contribute to bsmagic/np2016 development by creating an account on GitHub.

Opengraph URL: https://github.com/bsmagic/np2016/tree/master/Caffe

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caffe_sex_train_predict.pyhttps://github.com/bsmagic/np2016/blob/master/Caffe/caffe_sex_train_predict.py
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README.mdhttps://github.com/bsmagic/np2016/tree/master/Caffe#readme
https://github.com/bsmagic/np2016/tree/master/Caffe#利用caffe预测病人性别正确率只有70还可以通过优化网络结构进行提升
https://github.com/bsmagic/np2016/tree/master/Caffe#环境配置ubuntu-1404或以上版本
https://github.com/bsmagic/np2016/tree/master/Caffe#使用
http://nbviewer.ipython.org/github/joyofdata/joyofdata-articles/blob/master/deeplearning-with-caffe/Neural-Networks-with-Caffe-on-the-GPU.ipynbhttp://nbviewer.ipython.org/github/joyofdata/joyofdata-articles/blob/master/deeplearning-with-caffe/Neural-Networks-with-Caffe-on-the-GPU.ipynb
http://blog.csdn.net/u011762313/article/details/47361571#sigmoidhttp://blog.csdn.net/u011762313/article/details/47361571#sigmoid
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