In this section, we will look at the final piece of mathematics by combining all the previous equations and concepts, and we will derive the final equation in the form of probability. We have already seen the concept and basic intuition, calculation, and example in the previous section, Word2vec neural network layers details.
The word2vec neural network is using a one-hot encoded word vector as input and then it passes this vector value to the next layer, which is the hidden layer, and this is nothing but the weighted sum values that feed into the hidden layer as input. The last output layer generates the vector value, but to make sense of the output, we will convert the vector into probability format, ...
