taskGneural Network - Tasks: task #14200, Implement random_search training...

 
 

You are not allowed to post comments on this tracker with your current authentication level.

task #14200: Implement random_search training for nnet.

Submitter:  Ray Dillinger <rayd>
Submitted:  Sun 30 Oct 2016 04:37:32 PM UTC
   
 
Should Start On:  Sun 30 Oct 2016 07:00:00 AM UTC Should be Finished on:  Wed 30 Nov 2016 08:00:00 AM UTC
Category:  None Priority:  7 - High
Status:  None Privacy:  Public
Assigned to:  None Percent Complete:  0%
Open/Closed:  Open Effort:  0.00

Sun 30 Oct 2016 04:37:32 PM UTC, original submission:  


The current implementation (for nn) simply makes a series of random guesses as to the weights of the whole network, checking each to see if it has lower error than the best yet discovered - a pure, weight-only, exploration strategy.

It's possible to do much better by selecting randomly among a set of different operations that include a mix of many possible exploration and exploitation strategies.  If feeling particularly ambitious, it could also include topology elaboration and reduction strategies.

Ray Dillinger <rayd>
Group Member

 

(Note: upload size limit is set to 16384 kB, after insertion of the required escape characters.)

No files currently attached

 

Depends on the following items: None found

Items that depend on this one: None found

 

Carbon-Copy List
  • -email is unavailable- added by rayd (Submitted the item)
  •  

    There are 0 votes so far. Votes easily highlight which items people would like to see resolved in priority, independently of the priority of the item set by tracker managers.

     

    Follows 1 latest change.

    Date Changed by Updated Field Previous Value => Replaced by
    2016-10-30 rayd Should be Finished on2016-10-30 2016-11-30

    Back to the top

    Powered by Savane 3.13-02a9.
    Corresponding source code