Glossary of Deep Learning: Word Embedding | by Jaron Collis | Deeper Learning | Medium

Word Embedding turns text into numbers, because learning algorithms expect continuous values, not strings.

Glossary of Deep Learning: Word Embedding Jaron Collis 5 min read · Apr 19, 2017 -- 4 Listen Share Press enter or click to view image in full size A plot of word embeddings in English and German. The semantic equivalence of words has been inferred by their context, so similar meanings are co-located. This is because the relative semantics of words are consistent, whatever the language. [Source: Luong et al ] The Big Idea of Word Embedding is to turn text into numbers. This transformation is necessary because many machine learning algorithms (including deep nets) require their input to be vecto

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