Instruction: Compare and contrast Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN).
Context: The question aims to evaluate the candidate's understanding of the architectural and functional differences between RNNs and CNNs, and their typical applications.
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The way I'd explain it in an interview is this: RNNs and CNNs were built for different kinds of structure. RNNs are designed for sequential dependence, where the order of elements matters and earlier information may need to influence later predictions. CNNs are designed to detect...