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Results tagged with word-embeddings
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user 86325
Word embedding is the collective name for a set of language modeling and feature learning techniques in NLP where words are mapped to vectors of real numbers in a low dimensional space, relative to the vocabulary size.
-3
votes
What is the difference between and Embedding Layer and an Autoencoder?
Embedding layer, is used in auto-encoders to construct word2vec.
Embedding layer, are a type of layer, used in Deep Learning. You can find others here. Auto-encoders, are a type of architecture, whe …
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