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This repository has been archived by the owner on Apr 11, 2021. It is now read-only.
Hi, thanks for your great work on sharing the one and only working keras-based implementation of deep learning models for NLP that can be found on the web.
Suppose I want to move on to something original by adding one or more channels to the input data,which may be a color channel in image or another language, can you suggest which parts of your code I should look into and share with me any of your ideas on the actual changes needed?
I have had a lot of pains before with getting dimensions of layers matching and doing away with the unused output warning. I would be extremely grateful if you can offer any help.
The text was updated successfully, but these errors were encountered:
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Hi, thanks for your great work on sharing the one and only working keras-based implementation of deep learning models for NLP that can be found on the web.
Suppose I want to move on to something original by adding one or more channels to the input data,which may be a color channel in image or another language, can you suggest which parts of your code I should look into and share with me any of your ideas on the actual changes needed?
I have had a lot of pains before with getting dimensions of layers matching and doing away with the unused output warning. I would be extremely grateful if you can offer any help.
The text was updated successfully, but these errors were encountered: