Training an RNN to classify sequences using just the last LSTM output #325
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
I did this as a demo for a particular project. I can polish it up if you want it.
You basically just run an LSTM on every sequence, take the last output for each sequence and the push that through a neural net.
There are 2 demos training on generated data and then one classifying sentences as Spanish or English. The language one is tested using entirely different novels.