Multi-Precision Policy Enforced Training (MuPPET): A precision-switching strategy for quantised fixed-point training of CNNs

16 Jun 2020Aditya RajagopalDiederik Adriaan VinkStylianos I. VenierisChristos-Savvas Bouganis

Large-scale convolutional neural networks (CNNs) suffer from very long training times, spanning from hours to weeks, limiting the productivity and experimentation of deep learning practitioners. As networks grow in size and complexity, training time can be reduced through low-precision data representations and computations... (read more)

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