• Advertisement
Sign in to follow this  

Bias node in BP

This topic is 1777 days old which is more than the 365 day threshold we allow for new replies. Please post a new topic.

If you intended to correct an error in the post then please contact us.

Recommended Posts

Hi All,

                I am new to BP, I am started learning it recently, unable to get  the use of Bias node in BP...

                 Please explain it simply... 

                    Thank You..

Share this post


Link to post
Share on other sites
Advertisement

Hello

By BP, what do you mean please?

Are you talking about back-propagation ? Yes you are, I didn't see your tag smile.png

 

If so, the bias is not related to back-propagation, but to Mc Culloch & Pitts model.

Any network model that use Mc Culloch & Pitts model must use a bias, as it is described in any good explanation.

 

The bias permit to shift the activation (or transfert) function, along x axis.

The common way to implement it is to add a constant input (1 or -1 usually) in input vector of each node and make its weight (i.e the bias) evolve like any other weight.

 

An analogy in 2D : the bias is like c in the line equation a.x+b.y+c=0

Edited by Tournicoti

Share this post


Link to post
Share on other sites
Sign in to follow this  

  • Advertisement