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Distributed Deep Learning training: Model and Data Parallelism in Tensorflow
How to train your data in multiple GPUs or machines using distributed methods such as mirrored strategy, parameter-server and central storage.
How to train your data in multiple GPUs or machines using distributed methods such as mirrored strategy, parameter-server and central storage.
