Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.
Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
Questions | Answers | Discussions | Knowledge sharing | Communities & more.
CBOW (Continuous Bag of Words) is another neural network architecture for learning word embeddings.
Unlike Skip-gram, CBOW predicts a target word based on its context words. It takes a window of context words as input and predicts the target word.
The underlying logic is similar to Skip-gram but reversed. CBOW learns to predict a target word from its context, thereby capturing the meaning of a word based on its surrounding context.