Self-Supervised Learning - Stanford University
1.Start with randomly initialized word embeddings. 2.Move sliding window across unlabeled text data. 3.Compute probabilities of center/context words, given the words in the window. 4.Iteratively update word embeddings via stochastic gradient descent . [Mikolov et al., 2013] 18
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