Activation functions turn linear algebra into intelligence
HankYeomans · x · 2026-08-21
Explains the crucial role of activation functions in deep learning: without them, a deep network is just one big matrix multiply. Non-linearities like Sigmoid, Tanh, ReLU, Leaky ReLU, ELU, and Maxout introduce the complexity needed for neural nets to recognize faces, write code, and drive cars.
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