[vandahm]

I made a RNN for a college project because I was interested in obsolete historical technology and I thought I needed to seize the opportunity while it lasted, because once I was out of school, I'd never hear about neural networks ever again.

Mine worked, but it was very simple and dog slow, running on my old laptop. Nothing was ever going to run fast on that thing, but I remember my RNN being substantially slower than a feed-forward network would have been.

I was so confident that this was dead technology -- an academic curiosity from the 1980s and 1990s. It was bizarre to see how quickly that changed.

[alkonaut]

I feel old. I made my masters thesis on RNN's for learning dynamic systems e.g. for control purposes (quite a novelty at the time, around 2000). We wrote the backprop in C++ and ran it over night. Yes it was slow as hell with the tiny gradients. The network architectures were e.g. 5 or 10 neurons in a single hidden layer. NN's were a tiny subject that you were lucky to find courses in. Then closed my eyes for two seconds and looked at the subject again in 2015. Wow.