Thanks for sharing this, it seems like a lot of interesting material is being discussed. The audience seems to be more like the hacker news visitor than the average student though, as it feels like little hand holding is provided.
I've just started lecture 1 but I already felt some minor frustrations:
- One of the links in the first lecture is to a notebook about intro to convolutions but that notebook is just a big code dump.
- After executing the exercises, you lose the expected answer. It might be better if the answers were included as a comment in the code fragment.
- Sometimes the given answers are not actually the answer but just the computation performed as part of getting the answer. I.e. for the matrix-matrix products section in lecture 1 the suggested answer is just the resulting matrix from doing the matrix product, but according to the question in the text the answer should be the actual cheapest shop.
- Is this a USF course or a fast.ai course?
I don't know if the author is planning on improving the material, because right now it feels a bit like a beta version.
I've just started lecture 1 but I already felt some minor frustrations:
- One of the links in the first lecture is to a notebook about intro to convolutions but that notebook is just a big code dump.
- After executing the exercises, you lose the expected answer. It might be better if the answers were included as a comment in the code fragment.
- Sometimes the given answers are not actually the answer but just the computation performed as part of getting the answer. I.e. for the matrix-matrix products section in lecture 1 the suggested answer is just the resulting matrix from doing the matrix product, but according to the question in the text the answer should be the actual cheapest shop.
- Is this a USF course or a fast.ai course?
I don't know if the author is planning on improving the material, because right now it feels a bit like a beta version.