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The Function That Saved Deep Learning

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Jan 19, 2026
27:42

What do 1940s anti-aircraft guns, facial recognition, and GPT-4 have in common? They are all powered by the same fundamental logic. For half a century, the quest for Artificial Intelligence was stalled by a single mathematical flaw: the Sigmoid function. It caused the "Vanishing Gradient" problem, freezing the layers in deep neural networks. It wasn't until a small group of researchers defied the academic consensus and embraced a "broken" function (ReLU) that the Deep Learning revolution could truly begin. This is the history of the mathematical "ramp" that birthed the modern world. ------------------ These animations are largely made using a Python library, manim. For more information see: https://github.com/3b1b/manim Music by Vincent Rubinetti Download the music on Bandcamp: https://vincerubinetti.bandcamp.com Stream the music on Spotify: https://open.spotify.com/artist/2SRhEEt2tlDQWxzwfUo9Dl

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The Function That Saved Deep Learning | NatokHD