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gnorm = mx.nd.norm(model_executor.data_grad).asscalar()

Status: Open.

#9 In lyttonhao/Neural-Style-MMD;

· fido20160817 opened on Jul 20, 2023

Have you ever tried the setting of --bn_loss?

Status: Open.

#8 In lyttonhao/Neural-Style-MMD;

· wadx2019 opened on Oct 20, 2021

Why cannot get good results with Gaussian kernel?

Status: Open.

#7 In lyttonhao/Neural-Style-MMD;

· wzc118 opened on May 17, 2018

mmd_loss line 43

Status: Open.

#6 In lyttonhao/Neural-Style-MMD;

· chanshing opened on Apr 9, 2018

python version problem

Status: Open.

#5 In lyttonhao/Neural-Style-MMD;

· cicido opened on Dec 19, 2017

confusion in Linear Kernel Loss functions

Status: Open.

#2 In lyttonhao/Neural-Style-MMD;

· allugrasm opened on Jun 12, 2017

The paper might has a mistake

Status: Open.

#1 In lyttonhao/Neural-Style-MMD;

· michaelhuang74 opened on Jun 11, 2017