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*Note: We have recently added multi-GPU (single-node) examples on fine-tuning DenseNet-121 on Chest X-rays aka [CheXnet](https://stanfordmlgroup.github.io/projects/chexnet/). This is still work-in-progress and contributions are highly welcome!*
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**For more details check out our [blog-post](https://blogs.technet.microsoft.com/machinelearning/2018/03/14/comparing-deep-learning-frameworks-a-rosetta-stone-approach/)**
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## Goal
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1. Create a Rosetta Stone of deep-learning frameworks to allow data-scientists to easily leverage their expertise from one framework to another
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