batch normalization: accelerating deep network training by reducing internal covariate shift

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batch normalization: accelerating deep network training by reducing internal covariate shift

the proceedings of machine learning research (formerly jmlr workshop and conference proceedings) is a series aimed specifically at publishing machine learning research presented at workshops and conferences. each volume is separately titled and associated with a particular workshop or conference. volumes are published online on the pmlr web site. the series editors are neil d. lawrence and mark reid.
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