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ladder net g_guass unclear #2
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Hi, the formula of the denoising function is given in the appendix of the paper : "B Formulation of the Denoising Function" |
We compile the model with categorical cross entropy, hence that loss is
added by keras while compiling.
…On Fri, 13 Sep 2019, 22:07 jeffmu, ***@***.***> wrote:
hi, about the cost, you just use the decoder cost(d_cost), however, the
c_cost you dont use it? Right?
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Thanks, I got it.
…------------------
Phd student: Mu Guoqing
Institute of Advanced Control Technology
School of Control Science & Engineering
Dalian University of Technology (DLUT), P. R. China
Email: guoqingmu@foxmail.com
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From: "Divam Gupta"<notifications@github.com>;
Date: Tue, Sep 17, 2019 01:52 PM
To: "divamgupta/ladder_network_keras"<ladder_network_keras@noreply.github.com>;
Cc: "穆国庆"<guoqingmu@foxmail.com>;"Comment"<comment@noreply.github.com>;
Subject: Re: [divamgupta/ladder_network_keras] ladder net g_guass unclear (#2)
We compile the model with categorical cross entropy, hence that loss is
added by keras while compiling.
On Fri, 13 Sep 2019, 22:07 jeffmu, <notifications@github.com> wrote:
hi, about the cost, you just use the decoder cost(d_cost), however, the
c_cost you dont use it? Right?
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or mute the thread
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Can't find any reference to that formula in call and in g_guass in the paper and online, can you explain the origin of the formula
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