How do activation functions work in neural networks?

Isn't it crucial to understand how activation functions operate within neural networks? They play a pivotal role in determining the output of neurons, influencing the model's ability to learn complex patterns. Without grasping their function, one might overlook key aspects of neural network performance and optimization. Why isn't this discussed more?

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