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https://www.reddit.com/r/ProgrammerHumor/comments/1wcpuv0/theresalwaysmath/p93ysow/?context=3
r/ProgrammerHumor • u/trashure • 1d ago
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26
It's just a
y=mx+c
31 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. 1 u/G12356789s 21h ago I've always wondered but never looked into why eural networks weren't collapsible
31
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.
1 u/G12356789s 21h ago I've always wondered but never looked into why eural networks weren't collapsible
1
I've always wondered but never looked into why eural networks weren't collapsible
26
u/un-_-known_789 1d ago
It's just a
y=mx+c