Reservoir Computing
Random recurrent neural networks can be trained to produce complex behaviors mimicking input/output relationships of recurrent neural networks in the brain. The important thing here is that these networks can produce complex temporal dynamics (even in the absence of input) unlike the static feedforward neural networks we discussed before. Reservoirs store past inputs. There were …
Click to rate this post!
[Total: 0 Average: 0]
You have already voted for this article
(Visited 13 times, 1 visits today)