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Given a random variable $X$ which arise from a parameterized distribution $F(X;θ)$, the likelihood is defined as proportional to the probability of observed data as a function of $θ$: $\operatorname{L}(θ | x)=\operatorname{P}(X=x \mid θ)$

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how does the loss function work in word2vec?

I was watching CS224n and I Came across this equation for word2vec loss function. As in the blue box, "for each document\training example t we are calculating the probability of context words given t …
raptorAcrylyc's user avatar