From the fraud_detection.ipynb, there's model using relu as last layer. However, the csv file contains negative values which relu cannot represent. I think the last layer of decoder should represent the input value. Wouldn't it be an issue?
I have the same issue, the construction change in construction may only related to regularization methods,
But this may not related to activation choose.
From the fraud_detection.ipynb, there's model using relu as last layer. However, the csv file contains negative values which relu cannot represent. I think the last layer of decoder should represent the input value. Wouldn't it be an issue?
Thanks.