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I was reading this paper and my question is related to it. What I am stuck at is the intuition behind using two CNNs for feature extraction. Can just RNN not be used for feature extraction as well as for capturing temporal relationship?

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  • $\begingroup$ It is sort of like asking if beef could be used for food) ANNS of all types are feature extractors by consfruction. All hidden layers do is extract features and scores $\endgroup$ – Alex Jul 19 '18 at 19:47
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In theory, any neural network can be used for feature extraction since neural nets perform it by themselves.

Whether or not using CNNs vs RNNs is a different question. CNNs are typically more computationally efficient whilst RNNs are more flexible but typically slightly harder to train.

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