Training an RNN to classify sequences using just the last LSTM output #325
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added 7 commits
October 26, 2017 11:31
…the very end of training.
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Hi aidan - just got back to town after a couple weeks abroad plus some insane paper deadline - looking forward to reviewing this properly. Thanks for the PR! |
ChaiBapchya
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Jan 22, 2020
ChaiBapchya
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Jan 22, 2020
| " if len(s) > min_len and len(s) < max_len:\n", | ||
| " yield s\n", | ||
| " \n", | ||
| " # Run through all the novels and grab all the sentences in the books and grab all the sentences\n", |
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What do you mean here? @aidan-plenert-macdonald
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Just sentences out as series of characters
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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.