with hills and valleys. (Ignore for the moment that the surface is just 3D and
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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
combined with flexible wings and legs that let the insect bounce off obstacles
is actually just a sensitive nose with almost
which it punctures. Then my blood begins to flow into the
where a third set of sensors in the tip detect yet another gradient
which it senses with the heat detectors in its feet
which describes any gradual transition from one level to