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chipro
chipro @chipro
Some people asked about resources/tips on debugging machine learning models. Here you go :-)

1. http://josh-tobin.com/assets/pdf/troubleshooting-deep-neural-networks-01-19.pdf
2. https://medium.com/infinity-aka-aseem/things-we-wish-we-had-known-before-we-started-our-first-machine-learning-project-336d1d6f2184
3. https://medium.com/@keeper6928/how-to-unit-test-machine-learning-code-57cf6fd81765
4. https://pcc.cs.byu.edu/2017/10/02/practical-advice-for-building-deep-neural-networks/
5. https://medium.com/ai%C2%B3-theory-practice-business/top-6-errors-novice-machine-learning-engineers-make-e82273d394db
6. http://karpathy.github.io/2019/04/25/recipe/

Chip Huyen: I saw a guy debugging his model today.
No idpb.
No unittest.
No visualization.
No disabling regularization.
He just sat there staring at every line of code and cursing TensorFlow.
Like every machine learning researcher I know.

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