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Image Recognition Neural Networks, Open Sourced
sevarac writes "The latest release of Java Neural Network Framework Neuroph v2.3 comes with ready-to-use image recognition support. It provides GUI tool for training multi layer perceptrons for image recognition, and an easy-to-use API to deploy these neural networks in end-user applications. This image recognition approach has been successfully used by DotA AutoScript tool, and now it is released as open source. With this Java library basic image recognition can be performed in just few lines of code. The developers have published a howto article and an online demo which can be used to train image recognition neural networks online."
What is it with Slashdot editors and this comma frenzy of theirs?
Furthermore you need plenty of training data partitioned into training and test sets so you can evaluate the generalisation error.
Yes. What's the alternative?
Working with neural nets has a mostly experimental feel to them
Most of software development is "experimental" because most software works with real-world data and because you have an endless cycle of implementing new features, testing, bug reporting, and bug fixing. With neural networks (and similar methods), at least people quantify their error rates. With most other applications, people can't even quantify how often they fail or whether a bug fix actually improves things.
Yes, there's more than back-prop for succesfull neural processing. One of the most instereseting approaches IMO were done by Liaw and Berger on adaptable sinaptic training models, but that was more than ten years ago!
What's in a sig?