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wessel wrote:What do you want to do with these?
prolog wrote:Recurrent NNs are quite mature already.They are several decades old.They are like a standard tool to model dynamical systems.
prolog wrote:Feedforward NNs can't extrapolate time series data well. They can only interpolate/do curve-fitting.You need recurrent NNs to predict time series generated by dyanamical systems
This conversation is already five years old, and there's still no RNN's in Rapid Miner ? I googled it and this was the first thing to come up ...
RNN is not stock in RapidMiner at this very moment. That said we have the DeepLearning4j extension available from our partner, you can check it out here: https://www.rapidminerchina.com/en/products/shop/product/deeplearning4j/
Are there any plans to implement it native- incl. LSTMs?
Love you all.
Not to this moment but since Tensor Flow has an Java API now, maybe some intrepid Java developer could take a stab it and build a Tensor Flow extension.