A lab journal on how the authors systematically find a way to optimize NN model size, model accuracy and inference time. Result from the journal: arxiv.org/abs/1806.03723
A lab journal on how the authors systematically find a way to optimize NN model size, model accuracy and inference time. Result from the journal: arxiv.org/abs/1806.03723
Think BatchNorm helps training due to reducing internal covariate shift? Think again. (What BatchNorm *does* seem to do though, both empirically and in theory, is to smoothen out the optimization landscape.) (with @ShibaniSan@tsiprasd@andrew_ilyas) arxiv.org/abs/1805.11604
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