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The Cat and the Bright Kitchen
Nina wanted one pile of photos: every picture of her cat, Miso, and none of the empty rooms. The folder held years of shots, and she wanted an album from it. Writing a rule for every pose was hopeless. A cat can be a shadow on a sofa, a tail under a chair, or a face turned away. She turned to machine learning, which means the computer learns from examples instead of following a rule she writes for each case.
She labeled a stack of pictures by hand. Cat. Not a cat. Then she let a neural network train on them. A network like this is built in layers of small units, sometimes called neurons. Each link between units has a weight. When the network guessed wrong, those weights shifted a little, toward the label she had given.