Measuring the Effects of Data Parallelism on Neural Network Training

Data parallelism can improve the training of #NeuralNetworks, but how to obtain the most benefit from this technique isn’t obvious. Check out new research that explores different architectures, batch sizes, and datasets to optimize training efficiency

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