| 释义 |
〔backpropagation〕A common method of training a neural net in which the initial system output is compared to the desired output, and the system is adjusted until the difference between the two is minimized.反向传播,逆传送:训练神经系统网络的普遍方式,将初始系统输出同要求系统输出相比较,然后将系统调整到两输出间差距最小的状态 |