1. Finished the Single Digit Classifier project.

Homework:

For Rexford, choose the dataset for your project (has to be multiclass, and catch up the below)

Choosing what you want to classify — Can be anything in real life, the only thing is you have to make sure the data exists on Kaggle.

The project has to be able to classify at least 5 different categories.

What we did last week:

1. Set up the labelling function
2. Verify Dataloader works with .show_batch() (reference old code for how to do this, it will depend on how you extract labels, whether its via path or filename)
3. Run training with a vision_learner.

What you have to do next week:

1. Use the proper imports (fast ai 2.7.19)
2. Use lr.find() to get the proper learning rate, then run finetuning with the discovered value (you must only call fine_tune once!)

   Add the following into the vision learner to ensure lr_find works!:
   path=Path(“/kaggle/working”),
   model_dir=”models”,

3. Export the file as a .pt file onto your computer!

Notes:

You can reach me at ddjapri@ayclogic.com.

All class notes can be found here.