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I recommend changing the following line in "Example: Text Classification of IMDb Movie Reviews Using BERT":
model = txt.text_classifier('bert', (x_train, y_train))
->
model = txt.text_classif…
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Thank you for submitting a TensorFlow documentation issue. Per our GitHub
policy, we only address code/doc bugs, performance issues, feature requests, and
build/installation issues on GitHub.
The…
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When two lines have the same "title" AND "year" AND "authors" keep only one (the first? the most complete?)
Below the three key in ISI and SCOPUS:
- title --> ISI = TI / Scopus = Title
- year -->…
tommv updated
4 years ago
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Hi
I'm trying to go through the first configuration without success. I am probably making a simple mistake..?
Pinoboard API token is valid (to be sure I generated a new one) and I have only one bo…
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## ❓ Questions & Help
Previously, I made this movie review sentiment classifier app using this wonderful library.
(Links:
https://deployment-247905.appspot.com/
https://towardsdatascience.com/ba…
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Hi,
I have recently transitioned to the Python version of Suite2P from Matlab. Most things are intuitive and obvious but I have two questions:
1. Parameter ops0.sig in Python?
In the MATLAB v…
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Hi !
I'm using the AnchorText movie reviews example as a starting point for a blog post on explainable AI. I've run into two minor issues but I'd be interested in understanding them / maybe improving…
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Thanks for releasing BERT!
I'm just wondering if BERT will be available on TensorFlow Hub like ELMO (for either fine-tuning or extracting features)?
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I'm running the notebook "Predicting Movie Reviews with BERT". It works fine, but as soon as I predict one sentence I'm getting this error, I guess on the `tf.estimator.Estimator` in ` predictions = …