AI engineering glossary · NLP embeddings
What is word2Vec?
Word2Vec: A family of shallow neural-network methods that learn word vectors by predicting words from their neighbours in a large corpus. Its two architectures are skip-gram and continuous bag of words. It showed that simple training on raw text yields vectors capturing meaning.
Word2Vec: an example
Trained on millions of sentences, Word2Vec places "mumbai" and "delhi" near each other in vector space.
Related terms
More NLP embeddings terms
Where you learn it
Word2Vec is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.