Data Science, Machine Learning, NLP, Transformers, Word Embeddings.
stores a vector representation for each word. In general, this is done by minimizing a “reconstruction loss”. This loss tries to find the lower-dimensional representations which can explain most of the variance in the high-dimensional data. # Try Glove word embeddings with Spacy !python3 -m spacy