Answers/Links from last night’s group:
1. How do visualize what the convolutional kernels are learning?
This link to an updated, last year’s, notebook may help. See here. While it describes a technique to see what parts of your image your model is looking it, the ideas could be adapted perhaps into visualizing filters and also what parts of an image they are looking at (just like in the paper mentioned in class).
You may also want to search the forums as previous students may have done this already. If you get something working, put it in a notebook and post a link here! I’d love to see it.
2. What about object detection?
As you know, its not on the table for the first 7 lessons at least. But Zach Mueller has a notebook you can check out as a part of his ongoing lecture series, A Walk with fastai2.
You may also want to check out the forums to see what folks have done with adopting architectures like darknet and SSD in the past.