3 ms·
Similar doesn't mean identical. Neurological systems in the brain have to take into account all sorts of things that we can discard in a simulated environment,
by yesco 3y ago
Similar doesn't mean identical. Neurological systems in the brain have to take into account all sorts of things that we can discard in a simulated environment, energy just being one example.
While maybe "not too different" might be a bit of an exaggeration, to not make any kind of comparison would be a disservice in my mind. I see NNs as being closer to a mathematical model of neurons in a petri dish, it lacks the higher level framework that pieces everything together, but still accurately models a fundamental building block of the system to a certain extent.
- janalsncm 3y agoIt’s not just a bit of an exaggeration, it’s a fundamental mischaracterizarion. It’s barely even a cocktail party-level understanding. It’s what you tell your retired lawyer brother in law if he asks how a neural network works, but anyone but anyone who is serious enough to buy this book is not being served by the analogy. But fundamentally the point is the same: brains don’t learn via backpropagation. The headline isn’t sort of correct, it is wrong.