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sergeyk authored Jun 4, 2021
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- [Lab 3: RNNs](lab3/readme.md): Using CNN + LSTM with CTC loss for line text recognition.
- [Lab 4: Transformers](lab4/readme.md): Using Transformers for line text recognition.
- [Lab 5: Experiment Management](lab5/readme.md): Real handwriting data, Weights & Biases, and hyperparameter sweeps.
- [Lab 6: Line Detection](lab6/readme.md): Train and evaluate line detection model (or paragraph recognition).
- [Lab 7: Data Management](lab7/readme.md): Label our own handwriting data and properly store it.
- [Lab 6: Data Labeling](lab6/readme.md): Label our own handwriting data and properly store it.
- [Lab 7: Paragraph Recognition](lab7/readme.md): Train and evaluate whole-paragraph recognition.
- [Lab 8: Continuous Integration](lab8/readme.md): Add continuous linting and testing of our code.
- [Lab 9: Deployment](lab9/readme.md): Run as a REST API locally, then in Docker, then put in production using AWS Lambda.
- [Lab 10: Monitoring](lab10/readme.md): Set up monitoring that alerts us when the incoming data distribution changes.

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