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[Question] Does dropout layer after word embedding improve neural machine translation? #12

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SkyAndCloud opened this issue Jun 1, 2018 · 1 comment

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@SkyAndCloud
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Hi, I saw you add dropout layer after word embedding, which was not mentioned in rnnsearch paper "Neural Machine Translation by Jointly Learning to Align and Translate". Does this trick improve some performance? Is this implemented in vanilla theano version groundhog?
Thanks!

@Playinf
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Playinf commented Jun 3, 2018

We found this trick works well in practice. However, the original GroundHog implementation do not use this trick.

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