In part thirteen of Deep learning, it says "The main reason here is that we're not likely working with enough data. I have found RNNs to perform better than CNNs with less data." So what is the boundary for RNN and CNN? How much data is good for CNN to perform better than RNN? Could someone give an empirical value on this?
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