神经网络反向传播参数
时间: 2023-10-19 08:26:33 浏览: 48
神经网络的反向传播算法是用来计算神经网络中代价函数对所有参数的偏导数。它通过链式法则将误差从输出层传播回输入层,以更新网络中的参数。反向传播算法的步骤包括计算代价函数的梯度,使用梯度下降法更新参数,以及进行梯度检测等。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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