在深度学习中，激活函数（Activation Function）是神经网络的灵魂。它不仅赋予网络非线性能力，还决定了训练的稳定性和模型性能。那么，激活函数到底是什么？为什么我们非用不可？有哪些经典函数？又该如何选择？
// 易错点2：遍历结束后k仍0 → 栈是递增的，末尾数字更大，移除末尾k位
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