Without one bend, 100 layers act like one
Why every neural network needs an activation function, explained with two simple equations. Deep networks stack layer after layer. But there's a catch hiding in that stack. Without one small ingredient, a hundred layers can do exactly what one layer does, and nothing more. That ingredient is the ac…
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- 2026-10-31 20:20 · DEV Community — Machine Learning
Without one bend, 100 layers act like one
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