Understanding vectors in Word2Vector model • /r/MachineLearning


In general, the goal of the loss function is to maximise the dot product between input vector and output vector while minimise the dot product between the input vector and other random vector. So this will make vectors corresponding to input and output word (context word) become more similar. With CBOW, the idea is kind of the same but with a different formulation.

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