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Word2Vec (CBOW and Skip-Gram)
Sept. 28, 2022, 9:38 a.m. | /u/eternalmathstudent
Computer Vision www.reddit.com
1. Consider **CBOW** with **4 context words**, why the input layer has **4 full-vocabulary length one-hot vectors** to represent these 4 words and take average of them? Why can't it be just **1 vocabulary length vector with 4 ones** (in otherwords **4-hot vector**)?
2. **CBOW** takes inputs as context words and predict a …
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