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)培訓成能實現(xiàn)兩個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)實現(xiàn)各個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)也可假定為可以學習。
Research Areas: robotics, neural net, Gaussian process, scientific computing, and software/ hardware development.
主要研究領(lǐng)域為冗余機器人，遞歸神經(jīng)網(wǎng)絡(luò)，高斯過程，科學計算和軟硬件開發(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)將會找到一種將誤差減少到最小的權(quán)系數(shù)的分配方式。