Lab 4 (20 min): IAM Lines and experimentation time (hyperparameter sweeps, leave running overnight).
Third session (90 min)
Review results from the class on W&B
Lab 5 (45 min) Train & evaluate line detection model.
Lab 6 (45 min) Label handwriting data generated by the class, download and version results.
Fourth session (75 min)
Lab 7 (15 min) Add continuous integration that runs linting and tests on our codebase.
Lab 8 (60 min) Deploy the trained model to the web using AWS Lambda.
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