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AI Deconstructed
AI Deconstructed

EP14 - Activation Functions: The Spark of Non-Linearity in Neural Networks

44 min•16 augusti 2025

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Why can a 100-layer neural network be no smarter than a single neuron? The answer lies in linearity. This episode deconstructs activation functions, the essential components that introduce non-linearity and allow networks to learn complex patterns. We explore the journey from the classic Sigmoid and Tanh functions, diagnose their career-ending "vanishing gradient" problem, and crown the modern champion: ReLU.

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