A web of nodes modeled after brain neurons is trained into an incomprehensibly complex algorithm that knows one thing and one thing only: the patterns of fade and wear accumulated by old pairs of jeans.
So begins a recent Levi’s patent proposal detailing the use of neural networks in clothes manufacturing. In the scenario, the San Francisco apparel brand goes on to set a second neural network—let’s call it bot B—to send blobs of pixels to the above one—bot A—gradually honing them through trial-and-error feedback until bot A can no longer distinguish between photos of old jeans and bot B’s imitations.
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