I was going through word2vec materials from Andrew Ng's course and below is what i understood.
The challenge i am facing is i am unable to find a clue how embedding matrix is updated. For example, if there are 10000 unique words and 200 is embedding size, this embedding after training process will have some decimal value in each cell of the matrix. So for a particular word lets say
happy, we can have an array of sze 200 which will have some decimal values
So my question is how this matrix is created?