Matrix and vector dimensions in w2v

Question

I need an explanation of the dimensions of matrices and vectors in word2vec (CBOW algorithm). What they exactly are, why do we need them and what I should know about that?

Answer 1

矩阵表示神经网络各层之间连接的权重。例如，W＆lt; _NxV 矩阵具有N行，一个用于隐藏层的N个分量中的每一个，以及V列，一个用于输出层的每个V分量。它是一个矩阵，每个元素w＆＃39; _ij 表示隐藏层中第i个神经元与输出层中第j个神经元之间连接的权重。