Create Embeddings with Tensorflow • /r/MachineLearning


I want to create a deep neural network who's first layer maps words to vector embeddings. Essentially: Y Wx b where Y is the corresponding word embedding and x is the one-hot encoded vector for a word. However, I found feeding such a large x as a placeholder for each word full of zero makes the model extremely slow, so I was wondering if there are any alternatives aside from running word2vec in C and then just feeding the already embedded word vectors in.

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