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 -~----------~----~----~----~------~----~------~--~---
