Comments (4)
我实现的是混合版呀。loss本来就可以为负呀,G_loss是要最大化这个loss,代码实现里是最小化,对应的loss就是负的了。
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您好,我又核对了下,原始GAN网络定义的最大最小化公式中,对于生成器G的损失函数是要最小化的,对于判别器D是要最大化的,然后对D的损失函数取负数,变成最小化。这篇CFGAN论文也是这么做的,您程序定义的也是对的,所以原因应该不是您说的因为G_loss要最大化。我原先考虑过您说的这种情况,但因为不是这种原因,所以我就比较疑惑,loss函数为负的这种情况是不是代表定义的函数不合适或者是其他情况
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你的理解是错误的
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emmm,好的,我再看一下,谢谢您的答复。
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Related Issues (20)
- 数据集问题 HOT 1
- 关于MHCN的性能问题 HOT 1
- 关于ESRF的问题请教 HOT 6
- Visual image rendering HOT 2
- Performance comparison over different item groups HOT 3
- yelp数据集的疑问 HOT 1
- 用相同的数据集训练,设置相同的种子,相同的参数。MHCN在QRec上的表现明显优于SELFRec是什么原因啊 HOT 5
- 关于ESRF代码如何提取出 alternative neighborhood HOT 3
- KeyError: 1 HOT 8
- 更改训练集和测试集 HOT 4
- 有关新模型训练 HOT 1
- 如何配置evaluation.setup下的-predict参数 HOT 2
- 可视化结果 HOT 2
- LightGCN復現性能問題 HOT 3
- 模型CUNE_BPR运行报错 HOT 1
- Yelp数据集获取 HOT 1
- SimGCL的实现中,为什么要对扰动噪声加l2归一化呢?而且现有扰动的噪声是否太大了? HOT 1
- 关于xsimgcl噪声的一些问题,想请教大佬 HOT 2
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- Epinions Download HOT 1
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