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Any plan to convert some of the code base (like the LSTM/NER) to allow for minibatch processing?
Currently, all of them take one instance at a time. Any pointers in that regard would be useful as well.
The text was updated successfully, but these errors were encountered:
Typically, minibatching adds a substantial amount of confusion in the implementation, since one has to keep track of what each axis of your tensors means. Since this is a tutorial, I intentionally did not use minibatching because I wanted to avoid making it substantially more confusing without much return on educational value. So I don't plan to do anything about minibatching in this tutorial. I don't have any specific tips for implementing minibatching. It is just about staying organized and clean with how you arrange your tensors.
Any plan to convert some of the code base (like the LSTM/NER) to allow for minibatch processing?
Currently, all of them take one instance at a time. Any pointers in that regard would be useful as well.
The text was updated successfully, but these errors were encountered: