Author | Litchi Boy Editor | Panshi Produced by | Panshi AI Technology Team [Panshi AI Introduction]: In previous articles, we introduced some machine learning, deep learning beginner resource collections. This article continues the principles and practical applications of training word vectors based on Word2Vec, also by the expert Litchi Boy. If you like our … Read more
Click the “MLNLP” above, and select “Star” to follow the public account Heavyweight content delivered first-hand Editor: Yizhen https://www.zhihu.com/question/321088108 This article is for academic exchange and sharing. If there is any infringement, it will be deleted. The author found an interesting question on Zhihu titled “Why can negative sampling in word2vec achieve results similar to … Read more
Author: Guo Bi Yang This article mainly summarizes the computational and programming problems from cs224n’s assignment 2. I found this assignment design to be excellent, progressing step by step, with both theory and practice, and a moderate level of difficulty. The overall structure feels more like a detailed tutorial. Therefore, I will review and reflect … Read more
“ This article provides a detailed explanation of the two structures in word2vec: CBOW and skip-gram, as well as the two optimization techniques: hierarchical softmax and negative sampling. Understanding these details and principles of the word2vec algorithm is very helpful!” Source: TianMin https://zhuanlan.zhihu.com/p/85998950 Word2vec is a lightweight neural network model that consists of an input … Read more