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word2vec Parameter Learning Explained

分类: 文章 • 2023-03-27 11:41:02

由word2vec获得的词向量代表可以捕获语义信息

1. Continuous Bag-of-Word 模型

现在只考虑仅一个词的上下文，也就是模型在给定一个词的上下文下仅预测一个目标，这很像一元模型，

后向传播基础：

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained ：输入值，w是权重，y是实数值输出，f叫连接函数，或是activation/decision/transfer
function

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained