7 PM – AI / ML – Shawn

Today We Did

1. Intro to machine learning and computer vision
2. Intro to Fast.ai & resnet34
3. Started training our cats vs dogs classification models
4. https://colab.research.google.com/drive/14wdE8R6MoDHzTVO5_tFw50Gjan73KJk-?usp=sharing

Homework

1. Try predicting some images using learn.predict(files[0]). Play around with the 0 to change around the images as well!
2. Run learn.show_results() a couple times. See how your learner does.
3. Try the following code:

   from google.colab import files
     file = files.upload()

   Try passing in the file you upload into learn.predict, and see how it does!

TIPS:

• Remember that you have to re-run your code if you disconnect from your Colab workspace for a while. Go to Runtime -> Run all to run all your cells.