Self-Supervised Learning
•Goal: represent words as vectors for input into neural networks. •One-hot vectors? (single 1, rest 0s) pizza = [0 0 0 0 0 1 0 … 0 0 0 0 0 ] pie = [0 0 0 0 0 0 0 … 0 0 0 1 0 ] ☹Millions of words high-dimensional, sparse vectors ☹No notion of word similarity •Instead: we want a dense, low-dimensional vector for each word such that ...
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