神经网络中的激活函数——深度学习的真正MVP
If you've ever dipped your toes into the world of neural networks, you’ve probably heard about activation functions. At first glance, they sound like some secret weapon only AI wizards know about....
激活函数在神经网络中至关重要,决定神经元是否激活,并引入非线性,使网络能够学习复杂模式。常见的激活函数有Sigmoid、ReLU和Softmax,适用于不同任务。选择合适的激活函数能显著提升模型性能。
