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like sacrificing queens early to gain an obscure long-term

which is ten times easier and was thought to be understood

such as whether those kinds of features have been seen before (learned)

which are defined by diversity (edges or color

” change them in the opposite direction.

” change the connections more in that direction.

with hills and valleys. (Ignore for the moment that the surface is just 3D and

and the bottom layer is given the correct answer. Any series of

” because the neural network is being taught by example

along with examples of other random data (pictures of other things). This is

a typical process consists of “training” them by showing them

a map) of the topology so you know where to ascend to get out of the

and the brain will weaken those connections.

the brain’s neural network reinforces those connections.

“this muscle motion brings my thumb closer to my mouth.” Over

and we do that by correlating inputs with

all pursuing what we mathematically call “optimization functions”

I’m actually seeking equilibrium states in an n-dimensional

from light and heat to gravity and chemical

from the most basic physical rules of the universe to the most