Neural GPUs Learn Algorithms — mentioned by IsONoDOn

Mon, 01 Oct 2018 00:06:18 GMT

> I thought it’s a given that since both CNNs and CAs are Turing complete, you can use one to simulate the other. They are both Turing complete, yes, but the similarities are deeper. Recurrent CNNs are a very natural way to describe CAs because they both impose exactly the same prior: that the system's underlying laws are spatially quantized, local, and translationally invariant. There hasn't been much work done in this area. People have made the connection before (e.g. this paper from Sutskever: https://arxiv.org/pdf/1511.08228.pdf) but AFAIK this is the first work to actually look deeply…

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Neural GPUs Learn Algorithms · HackerPapers discussions

Neural GPUs Learn Algorithms — mentioned by IsONoDOn