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License: MIT License
Implementation of the BP-MLL loss function in Tensorflow
License: MIT License
I am running the code here: https://colab.research.google.com/drive/1Da16UW8PudKFfGs756vClp0G_IpiJsGA
But after some steps the loss is NaN.
Is there something I am doing wrong?
Do you have a model definition that works in keras?
I'm having problemas because loss is becoming NaN , after 10 steps. I don't know if it's the gradients or anything like this.
Hi,
Just noticed in the paper activation of the output layer is tanh while in your example you used sigmoid.
Is it possible to use both?
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