Efficient Model Selection for Deep Neural Networks on Massively Parallel Processing Databases

Frank McQuillan from Pivotal gave this talk at FOSDEM 2020. "In this session we will present an efficient way to train many deep learning model configurations at the same time with Greenplum, a free and open source massively parallel database based on PostgreSQL. The implementation involves distributing data to the workers that have GPUs available and hopping model state between those workers, without sacrificing reproducibility or accuracy."

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