12 PM – AI and ML – Gamas

Today We Did

1. We learned more how to utilize Fast.AI prediction result object by getting the accuracy as well investigating other breed accuracy value.
2. We learned how to iterate the input data inside Kaggle and do random image prediction.

Homework

1. Research what does enumerate means in python.
2. Modify extract_breed function to return  CAT or DOG prefix.
   1. For example, DOG – Bengal, CAT – Perssian, DOG – Chihuahua
3. Deploy this CAT and DOG classifier into streamlit
   1. Export the PKL file
   2. Create Pycharm project, look at your previous Pycharm project for Cat and Dog prediction project.
   3. Run streamlit locally.