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question about 3.1.2 KL divergence minimization #21

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xiyuyu opened this issue Apr 27, 2017 · 0 comments
Closed

question about 3.1.2 KL divergence minimization #21

xiyuyu opened this issue Apr 27, 2017 · 0 comments

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@xiyuyu
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xiyuyu commented Apr 27, 2017 •
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  Dtype qij = cpu_inv_sigma_prod[j]*std::pow(cpu_mask[i*N_+j], alpha_exp)/norm;
  cpu_proba[i*N_ + j] = qij;
  Dtype pij = cpu_label[i*N_+j];
  //Dtype pij = qij*qij/sqr_norm;
  cpu_mask[i*N_+j] = alpha_weight*cpu_mask[i*N_+j]*(pij - qij);
  cpu_coefm[i] += cpu_mask[i*N_+j];
  cpu_coefn[j] += cpu_mask[i*N_+j];
  loss += pij * std::log(pij/qij);

what is cpu_label? Is it the label information?
@xiyuyu xiyuyu changed the title question about 3.1.2 KL divergence minimization The label information during training seems to be used in this code Apr 27, 2017
@xiyuyu xiyuyu changed the title The label information during training seems to be used in this code The label information seems to be used during training in this code Apr 27, 2017
@xiyuyu xiyuyu changed the title The label information seems to be used during training in this code The label information seems to be used in this code Apr 27, 2017
@xiyuyu xiyuyu closed this as completed Apr 28, 2017
@xiyuyu xiyuyu changed the title The label information seems to be used in this code question about 3.1.2 KL divergence minimization Apr 28, 2017
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