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word2vec skipGram model

Implementing word2vec: skipgram model using tensorflow core API

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Implementation:

The word2vec model uses the skipgram approach to train and generate the word vectors. The implementation uses Tensorflow Core API. The nework is a computational graph with a single hidden layer.

A good example on how to use tensorflow core API to build neural networks and how to train them

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Implementing word2vec: skipgram model using tensorflow core API

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