Practical Deep Learning: Lesson 2: Is it a Hotdog? meets the Internet

Practical Deep Learning for Coders Lesson 2: Let’s share this with the world.

Take aways from video:

• make a model, then clean the data. The initial model you create will help you find the data that doesn’t seem to fit it’s generalization hypothesis.

I have shipped even more ML code: Hotdog or Not?

Hugging Face 🤗 is darn slick. Your project is built into a docker image and then launched as needed. Github could learn a thing or two about showing status. There was some errors due to the fastai API changing to no longer needing you to wrap an image that you want to predict in a PILImage and another problem with adding example images, that I solved by just removing them.