21 votes

What are the main differences between skip-gram and continuous bag of words?

So as you're probably already aware of, CBOW and Skip-gram are just mirrored versions of each other. CBOW is trained to predict a single word from a fixed window size of context words, whereas Skip-...
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2 votes

What are the main differences between skip-gram and continuous bag of words?

Word embeddings are the results of learning from deep learning algorithms, which can learn characters from data through feature extraction. One implementation of word embedding is word2vec. Word2vec ...
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1 vote

Is my interpretation of the mathematics of the CBOW and Skip-Gram models correct?

The following figure from this article can be helpful: This figure represents "Skip-Gram model structure. Current center word is 'passes'".
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