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how to use mean vector as default if the input node not in embedding layer #4648

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liuxialong opened this issue Dec 8, 2016 · 3 comments
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@liuxialong
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If the predict input node not in embedding layer.(for example the input node is out of bound)

I wanna use mean vector of the embedding layer as default.

How should I do?

@bkj
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bkj commented Dec 12, 2016

In what scenario would you be feeding an "out of bound node" to the network? Do you mean a word at test time that was not in the training dataset?

@liuxialong
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@bkj

Yes. Maybe a word that not in the training dataset.

In that case, I may use mean vector as default in embedding layer.

@stale
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stale bot commented May 23, 2017

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs, but feel free to re-open it if needed.

@stale stale bot closed this as completed Jun 22, 2017
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