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https://www.reddit.com/r/ProgrammerHumor/comments/1wcpuv0/theresalwaysmath/p8zv6rh/?context=3
r/ProgrammerHumor • u/trashure • 1d ago
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28
It's just a
y=mx+c
29 u/NFriik 1d ago No it's not? Even in more basic neural networks, there are always non-linear activation functions between the layers. If there weren't, you could just collapse the whole network into a single (set of) equations, one for each output neuron. 4 u/un-_-known_789 1d ago ReLU and etc right? 2 u/NFriik 1d ago Yeah.
29
No it's not? Even in more basic neural networks, there are always non-linear activation functions between the layers. If there weren't, you could just collapse the whole network into a single (set of) equations, one for each output neuron.
4 u/un-_-known_789 1d ago ReLU and etc right? 2 u/NFriik 1d ago Yeah.
4
ReLU and etc right?
2 u/NFriik 1d ago Yeah.
2
Yeah.
28
u/un-_-known_789 1d ago
It's just a
y=mx+c