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#8 causes NaNs almost immediately during training #11

@craffel

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@craffel

If I run the TensorFlow version of this code (tf_train.py) with #8 applied, I get a NaN within the first few iterations and training stops. If I remove that change, training proceeds fine. @pukkapies were you ever able to get the model training appropriately with your changes applied? If so, what hyperparameter settings were you using?

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