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RE: Intro to deep learning #5
(02-09-2017, 06:40 AM)Hoss Wrote:
(02-06-2017, 04:40 PM)silur Wrote: Deep learning is a hype train I cannot understand. Not only there is proof that not all computationally feasible problems can be solved with deep learning (however can be solved by a human), but it has drawbacks, overhead and science institutions highly tend to avoid neural networks with AI.
There are much more sophisticated methods even if they are more specific to a certain task, so I just can't understand why people hype DNN so hard, they even want to calculate logarithms with neural networks T_T

I don't know... I think it's more than a hype. I've personally used neural-networks for packet scanning and HR Q/A automation at work and once we had the NN trained we "compiled" them to x86 assembly and they were extremely efficient with a high accuracy rate. I'll see if I can dig up some of the code for one of those projects and release it here.

And yes of course, NNs are not ALWAYS going to be the solution you need, but I think for a lot of scenarios a NNs dynamic nature really comes in handy.

extremely limited situations where they would be handy, generally.

I just think they're a quirky thing to do, as far as NN, as can be seen with the most practical application I've seen of it being this:


Messages In This Thread
Intro to deep learning - by Inori - 02-06-2017, 03:52 AM
RE: Intro to deep learning - by silur - 02-06-2017, 04:40 PM
RE: Intro to deep learning - by Inori - 02-06-2017, 05:23 PM
RE: Intro to deep learning - by Hoss - 02-09-2017, 06:40 AM
RE: Intro to deep learning - by Satan - 02-09-2017, 05:48 PM
RE: Intro to deep learning - by Blink - 02-09-2017, 07:26 PM

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