neural-net

基本解释

This would be accomplished by training a neural net to make two cuts.
把神經網絡培訓成能實現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).
竝採用神經網絡實現各個分類高斯混郃模型輸出的融郃。
Neural nets are also supposed to learn.
神經網絡也可假定爲可以學習。
Research Areas: robotics, neural net, Gaussian process, scientific computing, and software/ hardware development.
主要研究領域爲冗餘機器人，遞歸神經網絡，高斯過程，科學計算和軟硬件開發。
Similarly, in weight modification, a neural net can seek a weight distribution that minimizes error.
在權系數的調整中,神經網絡將會找到一種將誤差減少到最小的權系數的分配方式。