Please have a look at my website: akashnagaraj.me
grassknoted / cdae4infoextraction Goto Github PK
View Code? Open in Web Editor NEW[WIP] Cross-domain Auto-encoders for Information Extraction, using Capsule Networks
License: MIT License
[WIP] Cross-domain Auto-encoders for Information Extraction, using Capsule Networks
License: MIT License
Please have a look at my website: akashnagaraj.me
While running test_model.py
for testing the model, all the training images are loaded, which slows everything down.
There is a small issue with the decoding part of the model due to which the training fails, here it is:
The error is caused because of the layer defined on line 100 of capsulenet.py
.
Fixing this error (in a hacky way) leads to another error which is:
In a nutshell, the model expects a (12, 1)
vector, but instead a (13, 1)
vector is being passed. There are 13 classes split amongst the 3 domains, so the input layer must be changed.
Cannot read files due to an UTF-8 to ASCII conversion error at load_custom_dataset() function in capsulenet.py
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