Skip-gram model is to find word representations that are useful for predicting the surrounding words in a sentence or a document
given a sequence of training words w1, w2, w3, . . . , wT , the objective of the Skip-gram model is to maximize the average log probability
Hierarchical Softmax
Negative Sampling
Noise Contrastive Estimation
differentiate data from noise by means of logistic regression
转载于:https://www.cnblogs.com/learnmuch/p/5972128.html
相关资源：数据结构—成绩单生成器
