Comments (7)
i met the same problem, did u solve it?
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i met the same problem, did u solve it?
i change learning rate to 0.00001 and i think it has positive impact on the loss (i guess the problem is due to different types of GPU that we use). if you could find the problem help me about this
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thank u. i gonna try it. i tried to use different random seed, but the GAN was collapse and i got the follow loss image......
So are u GAN work properly?
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thank u. i gonna try it. i tried to use different random seed, but the GAN was collapse and i got the follow loss image...... So are u GAN work properly?
sorry for replying late. I Train the model with learning rate that I have mentioned before for 500 epoch. The loss of the model is in the below image. I think because of changing learning rate for better result I have to train for more than 500 epoch. And other problem I have is that when I want to validate the result with the Lumerical, the scripts that the author provided doesn't work, Do you have similar problem?
.
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I doubt that the picture is not aligned with the data in excel, because the code does not consider whether the picture is aligned with the data in excel.
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I doubt that the picture is not aligned with the data in excel, because the code does not consider whether the picture is aligned with the data in excel.
I think there might be an issue with the 'importbinary(files{i}, 'microns');' command for loading the file. It's possible that the older version of Lumerical and the newer version have slightly different ways of importing images.
I'm going to manually input the image instead of using the command for this line. Currently, the generated absorption spectrum by Gnet doesn't differ significantly from the spectral characteristics used for training.
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我怀疑图片与excel中的数据没有对齐,因为代码没有考虑图片与excel中的数据是否对齐。
我认为 'importbinary(files{i}, 'microns');' 可能存在问题 用于加载文件的命令。旧版本的 Lumerical 和新版本的导入图像的方式可能略有不同。 我将手动输入图像,而不是使用此行的命令。目前,Gnet 生成的吸收光谱与用于训练的光谱特征没有显着差异。
请问该如何操作
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