Closed ShoufaChen closed 4 years ago
Thanks for pointing this out!
Seems we played a bit loosey-goosey with the terminology here -- these terms are generally not interchangeable. df/dx
should be the derivative/gradient of f
with respect to x
. I just pushed some wording tweaks to clarify.
Thank you very much for the cs231n, which helps me a lot in understanding deep learning.
One thing I'm confused about is that can 'gradient of' and 'gradient with respect to' be used Interchangeably?
in the https://cs231n.github.io/optimization-2/ First,
I think here the gradient is of the final output may be right.
Second,
2. the local gradient of its output value with respect to its inputs
Did I miss something?