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Spacedman
Spacedman
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Are there any R librariespackages that support Deep RNNs?

I recently found an interesting paper on what it really means for a recurrent neural network (RNN) to be deep here. Depth can be added in several different ways (state to state, input to state, etc.) and the authors give several interesting architectures. I've been looking (via Google) for librariespackages that support creating these kinds of structures in an intuitive way that is quick/easy to implement but I have come up empty thus far. Does anyone know of a freely available librarypackage that supports the various structures detailed in the reference paper?

Are there any R libraries that support Deep RNNs?

I recently found an interesting paper on what it really means for a recurrent neural network (RNN) to be deep here. Depth can be added in several different ways (state to state, input to state, etc.) and the authors give several interesting architectures. I've been looking (via Google) for libraries that support creating these kinds of structures in an intuitive way that is quick/easy to implement but I have come up empty thus far. Does anyone know of a freely available library that supports the various structures detailed in the reference paper?

Are there any R packages that support Deep RNNs?

I recently found an interesting paper on what it really means for a recurrent neural network (RNN) to be deep here. Depth can be added in several different ways (state to state, input to state, etc.) and the authors give several interesting architectures. I've been looking (via Google) for packages that support creating these kinds of structures in an intuitive way that is quick/easy to implement but I have come up empty thus far. Does anyone know of a freely available package that supports the various structures detailed in the reference paper?

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noNameTed
noNameTed
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Are there any R libraries that support Deep RNNs?

I recently found an interesting paper on what it really means for a recurrent neural network (RNN) to be deep here. Depth can be added in several different ways (state to state, input to state, etc.) and the authors give several interesting architectures. I've been looking (via Google) for libraries that support creating these kinds of structures in an intuitive way that is quick/easy to implement but I have come up empty thus far. Does anyone know of a freely available library that supports the various structures detailed in the reference paper?