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Very cool! This looks like a very promising way to improve weather forecasts, predict wildfire movements (maybe?), and can maybe be used in control for chaotic
by sgillen 9y ago
Very cool! This looks like a very promising way to improve weather forecasts, predict wildfire movements (maybe?), and can maybe be used in control for chaotic systems? (Among other uses of course).
It feels like every day I'm seeing deep learning make more mathematical tools obsolete. It's amazing how useful this tool has been.
- freeone3000 9y agoWhen we started saving layers and gained nonlinear functions, it gained the ability to approximate any function, given enough time and data. These are big caveats. RL can function with a lot less data. SVMs can run with a lot less time and space. Partial function application and expert modelling reduce data needed - and some of the best results are from ensemble suites. It's not obsoleting, it's another tool in the box.