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A neural network is designed in the image of the human brain. Each neuron is essentially making a tiny calculation and passing that on to the next neurons. When it's learning to recognize a cat, for instance, researchers have done work where they can show where particular neurons are learning parts of a cat. There are clusters of neurons that actually learn what the nose looks like or what the curve of the ear is. And then this all comes together when it comes to recognizing the cat as a whole.
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