July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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Architectural component
Let's look at the architectural components involved in building a word2vec model.
The major architectural component for the word2vec model is its neural network. The neural network for a word2vec model has two layers, and in that sense, it is not a deep neural network. The fact is that word2vec doesn't use deep neural networks to generate vector forms of words.
This is one of the critical and main components of the word2vec model and we need to decode its functionality to get a clear idea about how word2vec works. Now it's time to decode the magical logic of the word2vec model.
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