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A neural network is a mathematical system that can learn skills on its own by analyzing vast amounts of data. It's an idea that dates back to the 1950s when a Cornell University professor named Frank Rosenblatt built a neural network that could learn to recognize printed letters. Most scientists discarded the idea of a neural network, but a tiny few believed it would one day come good.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode