7 PM – AI / Machine Learning – Gamas

Today We Did

1. We learned how to find famous dog breed that is not in the dataset.
2. We learned about fast.ai computer vision
3. We learned how to train the RESTNET34.
4. We used the model to predict new image

Homework

1. Create a for loop that will get all the images from a folder.
2. For each of the image, make prediction using cat_vs_dog_model.
3. Get the result[0] and compare with “True” or “False” to know if it is a dog or cat
4. Assign “Dog” or “Cat” as image title.
5. Extract prediction accuracy from result[2][0] or result[2][1]