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xray

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BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagged large and had a space of 1GB+ . My work includes self laid neural network which was repeatedly tuned for one of the best hyperparameters and used variety of utility function of keras like callbacks for learning rate and checkpointing. Could have augmented the image data for even better modelling but was short of RAM on kaggle kernel. Other metrics like precision , recall and f1 score using confusion matrix were taken off special care. The other part included a brief introduction of transfer learning via InceptionV3 and was tuned entirely rather than partially after loading the inceptionv3 weights for the maximum achieved accuracy on kaggle till date. This achieved even a higher precision than before.

  • Updated Feb 13, 2019
  • Jupyter Notebook

Xray / V2Ray( vmess/vless )、Shadowsocks、Trojan 通用客户端(Windows),可自动维持稳定上网 - 代理服务器异常自动切换,并提供一键部署代理服务端工具,使用 aardio 编写,绿色便携版免安装仅740KB、不需要.Net等外部运行库。

  • Updated Nov 27, 2020

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