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The Gradients of Activation Functions

this year medium (<1 hr) | Activation Functions Backpropagation Derivatives

Activation functions introduce non-linearity into neural networks, but their derivatives are crucial for backpropagation. 1. **Sigmoid**: Given $\sigma(x) = \frac{1}{1 + e^{-x}}$, derive...