Open MatthewWalstra opened 1 year ago
Clarifying Review
Thanks for the extensive review and made me realize that I should focus more closely to what the SLOs are asking for. It was just a question that I had personally and thought it was a good exam question.
There should be a SLO on learning rates; if there isn't one, that's a bug with the course materials.
@kangk9908 https://github.com/kcarnold/cs344-exam-23sp/blob/6a5024bc438f6db811ce74682ee7ba1fc4684112/u02-sa-learning-rate/SLO.md?plain=1#L1
From how I read the SLO from unit 2, I think it more relates to the input data and labels for that data, not the parameters used to train the model. I think this SLO from Unit 4 is more applicable, but not completely applicable. @kcarnold I might have missed it, but I didn't see a SLO for learning rates. Because HW3 and u5n03 (+ a few other homeworks and labs) refer to gaining an intuition for learning rates, I think it should be it's own SLO. However, that's a topic for a different issue.
Unit 4 Describe the overall approach of Stochastic Gradient Descent: how does it use information from a batch of data to improve its performance on that and other data?
I think asking two questions in one is too broad, and it would be more clear if the question only focused on one thing like a specific case of a high, low, or ideal learning rate. If you use the the unit 4 SLO, make sure the question directly relates to learning rates and Stochastic Gradient Descent. EX.