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Can you think of a few applications for sequence-to-sequence RNN? What about a sequence-to-vector RNN? And a vector-to-sequence RNN?
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Why do people use encoder-decoder RNNs rather than plain sequence-to-sequence RNNs for automatic translation?
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How could you combine a convlutional neural network with an RNN to classify videos?
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What can you deal with variable-length input sequences? What about variable-length output sequences?