neural-net

基本解釋

This would be accomplished by training a neural net to make two cuts.
把神經(jīng)網(wǎng)絡(luò)培訓(xùn)成能實(shí)現(xiàn)兩個(gè)切割就可完成這種工作。
Finally, the outputs of every classify GMM will be fused by Neural Net (NN).
并采用神經(jīng)網(wǎng)絡(luò)實(shí)現(xiàn)各個(gè)分類高斯混合模型輸出的融合。
Neural nets are also supposed to learn.
神經(jīng)網(wǎng)絡(luò)也可假定為可以學(xué)習(xí)。
Research Areas: robotics, neural net, Gaussian process, scientific computing, and software/ hardware development.
主要研究領(lǐng)域?yàn)槿哂鄼C(jī)器人，遞歸神經(jīng)網(wǎng)絡(luò)，高斯過(guò)程，科學(xué)計(jì)算和軟硬件開(kāi)發(fā)。
Similarly, in weight modification, a neural net can seek a weight distribution that minimizes error.
在權(quán)系數(shù)的調(diào)整中,神經(jīng)網(wǎng)絡(luò)將會(huì)找到一種將誤差減少到最小的權(quán)系數(shù)的分配方式。