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Autor:
Herrmann, Julien, Beaumont, Olivier, Eyraud-Dubois, Lionel, Hermann, Julien, Joly, Alexis, Shilova, Alena
This paper introduces a new activation checkpointing method which allows to significantly decrease memory usage when training Deep Neural Networks with the back-propagation algorithm. Similarly to checkpoint-ing techniques coming from the literature
Externí odkaz:
http://arxiv.org/abs/1911.13214
