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Using CNN predicting the length of the password. Given Hashed password, based on the length of pattern of the CNN for different length.
Hello, I have write a model to predict the length of the decoder's seq length
I use the final time step of lstm with a fully conneted layers to predict the length
but i meet some problem
in my train dataset the acc is 86% but the loss is too high witch between 2.7 - 3.0, the max length of my sentence is 36
I don not know is there problem in my model, have you meet some similar problem
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