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Check out this excellent step-by-step demonstration of how you can develop a TF/Keras project in a Kaggle notebook and send it to Google Cloud for training at scale right from your notebook, using TF Cloud https://www.kaggle.com/rosebv/train-model-with-tensorflow-cloud …
The future is to develop/debug as fast & conveniently as possible by using the most productive tools (notebooks, Keras) then immediately start training on as much compute as you want (in the cloud) to get your results a few minutes later
Does it work with pytorch? Or any plan to support it?
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