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Lecture
Neural Word Embeddings
Description
This lecture covers the fundamentals of neural word embeddings in modern NLP, focusing on dense vector representations like CBOW, Skipgram, GloVe, and fastText. The instructor explains how to represent natural language sequences, learn similarity between words, and train semantics-encoding word embeddings.
Official source
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