context-encoder Why there is no batch normalization after the first conv2d layer?

Jan 03 '18 08:01 ghost

@include-chenshen No particular reason as such -- just wanted to keep Discriminator, Generator, and Encoder as symmetric as possible. I do not think this choice should affect the results in any way. Feel free to try it out. :-)

Feb 17 '18 07:02 pathak22

Oh, I am so sorry! Because of some reason, I missed this e-mail until today. Since you shared your precious dataset with me, I have done train process. But, limited by computational power, I am unable to train on the whole imagenet. So, could you share the checkpointing of discriminator (corresponding to “paris_inpaintCenter.t7” or “imagenet_inpaintCenter.t7” on Github) with me? Anyway, thank you again.

On 17 Feb 2018, 3:34 PM +0800, Deepak Pathak [email protected], wrote:

@include-chenshen No particular reason as such -- just wanted to keep Discriminator, Generator, and Encoder as symmetric as possible. I do not think this choice should affect the results in any way. Feel free to try it out. :-) — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or mute the thread.

Mar 13 '18 15:03 ghost