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Leveling the Playing Field: HorovodRunner for Distributed Deep Learning Training
( go to the article → https://databricks.com/blog/2021/01/14/leveling-the-playing-field-horovodrunner-for-distributed-deep-learning-training.html )
This is a guest post authored by Sr. Staff Data Scientist/User Experience Researcher Jing Pan and Senior Data Scientist Wendao Liu of leading health insurance marketplace eHealth. None generates Taichi; Taichi generates two complementary forces; Two complementary forces generate four aggregates; Four aggregates generate eight trigrams; Eight trigrams determine myriads of phenomena. —Classic of Changes... The post Leveling the Playing Field: HorovodRunner for Distributed Deep Learning Training appeared first on Databricks.
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