Instead of rule-based programming that relies on formal logic (“If A = yes, run process B; if A = no, run process C”), neural networks resemble living brains. They’re composed of millions of artificial neurons, each of which draws connections to thousands of other neurons via “synapses.” Each neuron has its own level of intensity, determined either by the initial input or by synaptic connections received from neurons farther up the stream. In turn, this determines the strength of the signal these neurons send down the stream through their own dependent synapses.
