Timeline for What is the "value of fitting criterion" on the nnet package in R?
Current License: CC BY-SA 3.0
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| Oct 26, 2018 at 8:00 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Sep 25, 2018 at 11:01 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Aug 23, 2018 at 1:27 | answer | added | Sycorax♦ | timeline score: 2 | |
| Aug 17, 2018 at 3:15 | review | Close votes | |||
| Aug 25, 2018 at 3:10 | |||||
| Jun 10, 2015 at 21:35 | comment | added | yasin.yazici | fitting criterion is error (loss) between ground truth and network output. The numbers are values of objective function after iterative minimization. The value of objective function (fitting criterion + weight decay) gets smaller at each iteration since weights updated in a direction which minimizes objective. Probably, you see that after some iterations the values converge as objective function gets closer to a local minima. Check for MSE or cross entropy function rather than fitting criterion. | |
| Jun 9, 2015 at 10:13 | history | asked | Makondo | CC BY-SA 3.0 |