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# Multi-Label classification using Chest X-rays
Using dataset from [Kaggle](https://www.kaggle.com/competitions/ranzcr-clip-catheter-line-classification/overview)
First attempt at Pytorch
At first, tried running on Kaggle GPU100 - very slow
* Kaggle notebook [](https://colab.research.google.com/github/yxmauw/cxr-multilabel-clf/blob/main/enet-kaggle.ipynb)
* Google colab notebook [](https://colab.research.google.com/github/yxmauw/cxr-multilabel-clf/blob/main/enet-colab.ipynb)
## References:
1. [Debugger cafe](https://debuggercafe.com/multi-label-image-classification-with-pytorch-and-deep-learning/)
1. [StackOverflow](https://stackoverflow.com/questions/71404067/using-more-than-1-metric-in-pytorch)
1. [Debugger cafe - model checkpoints](https://debuggercafe.com/saving-and-loading-the-best-model-in-pytorch/)
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