word2vec does not use RNNs, the network is trained on a simple classification task "neighborhood" -> "word". Each word in the corpus is an independent example,

word2vec does not use RNNs, the network is trained on a simple classification task "neighborhood" -> "word". Each word in the corpus is an independent example, there's no sequential dependence.