In mlp.py, why are the parameters of the two models added together?

[Valentin4869]

In mlp.py at line 194, the paramters of the hidden layer and the output layer are added together. Is this a typo? If not, then why are we adding the parameters?

[nouiz]

This is not what you think it is. What we add are 2 lists of parameters. We don't add the parameters togethers, we just create a liste that have all the parameters together. We use that list of all the parameter later for the gradient computation.

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On Thu, Feb 9, 2017 at 6:30 AM Valentin4869 ***@***.***> wrote: In mlp.py <https://github.com/lisa-lab/DeepLearningTutorials/blob/master/code/mlp.py> at line 194, the paramters of the hidden layer and the output layer are added together. Is this a typo? If not, then why are we adding the parameters? — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#183>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AALC-0cEs_Cmq5aMibggse_KbG3wSbGYks5ravjfgaJpZM4L8A6u> .