Sites re-built with new python/tf/keras/debian/etc
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README.md
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README.md
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@ -23,10 +23,20 @@ observation ID and return an answer whether the observation is
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![Image](pics/waterfall-failed.png)
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![Image](pics/waterfall-failed.png)
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## wut Web
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## wut Web
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Main site:
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* https://wut.spacecruft.org/
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Source code:
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Source code:
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* https://spacecruft.org/spacecruft/satnogs-wut
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* https://spacecruft.org/spacecruft/satnogs-wut
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Beta (test) site:
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* https://wut-beta.spacecruft.org/
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Alpha (development) site:
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* https://wut-alpha.spacecruft.org/
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## Observations
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## Observations
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See also:
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See also:
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@ -55,9 +65,10 @@ Jupyter notebooks into websites.
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* `wut.ipynb` --- Machine learning Python script using Tensorflow and Keras in a Jupyter Notebook.
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* `wut.ipynb` --- Machine learning Python script using Tensorflow and Keras in a Jupyter Notebook.
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* `wut-predict.ipynb` --- Make prediction (rating) of observation from pre-existing model.
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* `wut-predict.ipynb` --- Make prediction (rating) of observation from pre-existing model.
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* `wut-train.ipynb` --- Train models to be using by prediction engine.
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* `wut-train.ipynb` --- Train models to be using by prediction engine.
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* `wut-web.ipynb`
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* `wut-web.ipynb` --- Website: https://wut.spacecruft.org/
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* `wut-web-beta.ipynb`
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* `wut-web-beta.ipynb` --- Website: https://wut-beta.spacecruft.org/
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* `wut-web-alpha.ipynb`
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* `wut-web-alpha.ipynb` --- Website: https://wut-alpha.spacecruft.org/
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# wut scripts
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# wut scripts
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The following scripts are in the repo.
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The following scripts are in the repo.
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