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AGPL would be a restriction if you need to deploy this model on top of PlaidML in production. It is still very useful during the training time after which the neural network can be offloaded into production framework such as tensorflow.


Heh, I think the part of the point of PlaidML is to avoid the speed/efficiency limitations of TensorFlow in deployment/production.




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