Neural networks in AI barely relate to any biological neural network.
Neural networks in AI are essentially a “scored” pachinko machine, with each peg having different numbers, which cause a “score” to go up for the “right” answer.
Basically, just a really fast, and expensive sieve filter.
I said “inspired by” and not “exact digital replicas”.
In classical MLP networks a neuron is modeled as an activation function depending on its inputs. Connections between those are “learned”, basically weights which determine the influence of one neuron’s output on the next neuron’s input. This is indeed Inspired by biological neural networks.
Interestingly, in some computer vision deep learning architectures, we have found structures after the training procedure which are even similar to how human vision works.
There are a bunch of different artificial neural network types, most – if not all – inspired by biology. I wouldn’t be so bold to reduce them in that absurd manner you did.
As neural networks in AI are inspired by nature, new techniques will surely follow the insights gained by such brain mapping research.
Neural networks in AI barely relate to any biological neural network.
Neural networks in AI are essentially a “scored” pachinko machine, with each peg having different numbers, which cause a “score” to go up for the “right” answer.
Basically, just a really fast, and expensive sieve filter.
I said “inspired by” and not “exact digital replicas”.
In classical MLP networks a neuron is modeled as an activation function depending on its inputs. Connections between those are “learned”, basically weights which determine the influence of one neuron’s output on the next neuron’s input. This is indeed Inspired by biological neural networks.
Interestingly, in some computer vision deep learning architectures, we have found structures after the training procedure which are even similar to how human vision works.
There are a bunch of different artificial neural network types, most – if not all – inspired by biology. I wouldn’t be so bold to reduce them in that absurd manner you did.