Joona Yoon

@bgjeroska I think this comment is for you. you can see the comment above > The possible reasons could be two: (1) the PatchGAN discriminator is already quite weak. Thus,...

Hi, this is too late comment. I supposed that title should be "translation for `tutorial/first-steps`", not for security. file changes look good :)

Oh my. I didn't know about this PR. I requested new PR and it has no conflict to merge into master branch - https://github.com/tiangolo/fastapi/pull/5237

오래된 PR이 많은 것 같네요. 번역이 아직 안 된 부분을 찾고 싶은데, 어디까지 합쳐진 건지 알 수 있을까요?

Well, I will have a try but I'm not sure I can :/ I think the example code will be updated to, (in couchbase 3.2.0+) ``` from couchbase.cluster import ClusterOptions...

Could you give me one example for multiple parameters? I have no idea about it but interesting.

and for second thing, RAM consumption, how about save all of its state and restore them? obviously, it have to take more time and less performance. any idea?

Oh I see. then, only for having different one, how about this? ``` _______________________________________________________________________________________________________________ Layer Type Output Shape Param # Trainable =============================================================================================================== vgg VGG (-1, 1000) 0 ... | └─3...

good, I totally agree with you. one thing I want to suggest is, it needs to be noticed from documentation. for example, "False; contains partial mixed-trainable parameters"

+1 still on android 11