a learning algorithm used in neural networks to minimize error by adjusting weights through the network
一种用于神经网络的学习算法,通过调整网络中的权重来最小化错误 (yī zhǒng yòng yú shénjīng wǎngluò de xuéxí suànfǎ, tōngguò tiáozhěng wǎngluò zhōng de quánzhòng lái zuìxiǎo huǐluò)
"The backpropagation algorithm helps in optimizing the neural network's performance."
"反向传播算法有助于优化神经网络的性能。" (Fǎnxiàng chuánbò suànfǎ yǒuzhù yú yōuhuà shénjīng wǎngluò de xìngnéng.)
extremely modern and innovative
to stop something; to end support for a project or activity
being far superior to others in a particular field.
to think carefully about possible risks before doing somethi...
being examined very closely
to cry very hard due to sadness