# gibbs sampling and contrastive divergence

5 messages
Open this post in threaded view
|
Report Content as Inappropriate

## gibbs sampling and contrastive divergence

 Hello,l want to have 1000 configurations at the end of the process of gibbs sampling rather than one configuration. How can l do that properly Thank you -- You received this message because you are subscribed to the Google Groups "julia-stats" group. To unsubscribe from this group and stop receiving emails from it, send an email to [hidden email]. For more options, visit https://groups.google.com/d/optout.
Open this post in threaded view
|
Report Content as Inappropriate

## Re: gibbs sampling and contrastive divergence

 What function are you using?On Fri, Aug 19, 2016 at 4:23 PM, Ahmed Mazari wrote:Hello,l want to have 1000 configurations at the end of the process of gibbs sampling rather than one configuration. How can l do that properly Thank you -- You received this message because you are subscribed to the Google Groups "julia-stats" group. To unsubscribe from this group and stop receiving emails from it, send an email to [hidden email]. For more options, visit https://groups.google.com/d/optout. -- You received this message because you are subscribed to the Google Groups "julia-stats" group. To unsubscribe from this group and stop receiving emails from it, send an email to [hidden email]. For more options, visit https://groups.google.com/d/optout.
Open this post in threaded view
|
Report Content as Inappropriate

## Re: gibbs sampling and contrastive divergence

 `function gibbs(rbm::HTRBM,bp::BPTree,vis; n_times=1)  v_pos = vis  h_pos = sample_hid(rbm,bp,v_pos)  v_neg = sample_vis(rbm,hid)  h_neg = sample_hid(rbm,bp,v_neg)  for i=1:n_times-1    v_neg = sample_vis(rbm,h_neg)    h_neg = sample_hid(rbm,bp,v_neg)  end  return v_pos,h_pos,v_neg,h_negend`CD : contrastive divergence`function CD(rbm::HTRBM,bp::BPTree,vis; n_times=1)  v_pos = vis   h_pos,h_pos_cov,h_samples = get_hid(rbm,bp,v_pos)  # CD1  v_neg = sample_vis(rbm,h_samples)   h_neg,h_neg_cov,h_samples = get_hid(rbm,bp,v_neg)  # CDn  for i=1:n_times-1    v_neg = sample_vis(rbm,h_samples)    h_neg,h_neg_cov,h_samples = get_hid(rbm,v_neg)  end  return v_pos,h_pos,h_pos_cov,v_neg,h_neg,h_neg_covend`On Friday, August 19, 2016 at 4:30:50 PM UTC+2, Michael Borregaard wrote:What function are you using?On Fri, Aug 19, 2016 at 4:23 PM, Ahmed Mazari <ahmedma...@...> wrote:Hello,l want to have 1000 configurations at the end of the process of gibbs sampling rather than one configuration. How can l do that properly Thank you -- You received this message because you are subscribed to the Google Groups "julia-stats" group. To unsubscribe from this group and stop receiving emails from it, send an email to julia-stats...@googlegroups.com. For more options, visit https://groups.google.com/d/optout. -- You received this message because you are subscribed to the Google Groups "julia-stats" group. To unsubscribe from this group and stop receiving emails from it, send an email to [hidden email]. For more options, visit https://groups.google.com/d/optout.
Open this post in threaded view
|
Report Content as Inappropriate

## Re: gibbs sampling and contrastive divergence

 In reply to this post by Ahmed Mazari i have another question related to the topic. When we would like to draw a histogram for our gibbs samplaing what should be the  axis of abscissa and Ordinate ?On Friday, August 19, 2016 at 4:23:24 PM UTC+2, Ahmed Mazari wrote:Hello,l want to have 1000 configurations at the end of the process of gibbs sampling rather than one configuration. How can l do that properly Thank you -- You received this message because you are subscribed to the Google Groups "julia-stats" group. To unsubscribe from this group and stop receiving emails from it, send an email to [hidden email]. For more options, visit https://groups.google.com/d/optout.