[madisonmay]

This is a rather painful read and a relatively shallow article on CNN's vs. RNNs. Potentially useful for someone new to the field but it's a very grab bag take. The reality is much less well defined than CNNs = eyes, RNNs = ears and mouth. To start, CNNs have seen quite a bit of success in NLP applications.

[kthejoker2]

Yeah, this article may actually be worse than nothing at all, in that it conflates a lot of concepts, and gets plenty of things flat out wrong.

Also, does it even matter what the difference between a CNN and a RNN is? Maybe in the sense of "what problems should I consider using a CNN vs. an RNN to solve" ... ?

Also, all "difference between ..." lists should be required to have a 3 column table with "criteria, item 1, item 2". That's the densest way to convey distinctions between items being compared.