I meant that cost of outputting "6" is 6.12 while cost of "0" is 6.28, so the image would be classified at 6 before being classified as 0
On Jan 19, 5:37 pm, Yaroslav Bulatov <[email protected]> wrote: > I'm curious how the pre-built neural network has been trained in > ocropus 0.3. The reason is that I get misidentification on noiseless > input, and wondering whether it's due to insufficient training, or to > overall design of NN and features. > > For instance the cost of outputting 6 is lower than cost of outputting > 0 on the following image (6.28 vs > 6.12)http://yaroslavvb.com/upload/run-run/zero-fail.png --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "ocropus" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/ocropus?hl=en -~----------~----~----~----~------~----~------~--~---
