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Loss is constantly NaN #195
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Hi,
I'm trying to train my dataset for the Data Science Bowl 2018 competition and I'm having trouble. The loss is always NaN no matter what I try. I know that my data set is structured properly, as it looks like this:
So the problem isn't the data. Once I load it and try to run it, the model compiles, but the loss is consistently NaN and I can't figure out why. Can someone help?
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