Word Embeddings with Keras
This article is originally published at http://blogs.rstudio.com/tensorflow/Word embedding is a method used to map words of a vocabulary to dense vectors of real numbers where semantically similar words are mapped to nearby points. In this example we'll use Keras to generate word embeddings for the Amazon Fine Foods Reviews dataset.
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This article is originally published at http://blogs.rstudio.com/tensorflow/
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