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loss为nan #7
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这就真的不清楚了~ |
loss为nan的问题是有什么原因造成的呢,你已经解决了嘛 |
遇到相同问题 |
我也遇见了同样的问题 |
请问解决了吗,我也遇到相同的问题 |
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大神您好。
阅读你关于capsule的三篇文章收益良多。
参考你的代码,换了一个数据集,迭代次数比你例子多,也会出现loss为nan的情况。按你的提升替换了squash中的K.epsilon()为0.001,并没有解决这个问题。
请问是什么地方会导致这个计算结果呢?
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