Hello everybody,
I want to build a neural net classifier that can "learn from its errors", ie. when I find that a classification made was wrong, I want to train the Net again with the input vector it misclassified.
I tried to use the UpdateModel operator from RM 5.0 for that, but it gives me a "Model not update-able" error. Is my approach wrong?
Ideally, I would like to create something like an "Active Learner" that chooses a verification set by itself and has a person verify predictions it made. Is something like this achievable with RM?
I also found a statement from Mr. Mierswa
http://rapid-i.com/rapidforum/index.php/topic,688.msg2702.html#msg2702 that
neural networks are finally a bit outdated by now |
Which classifier would you recommend?
Kind regards
Animal