[D] Word Embedding with Word2Vec and FastText • r/MachineLearning

I was looking forward a high-level explanation of these technologies. "we want to use the surrounding words to represent the target words with a Neural Network" This could use some rewording I think? I get what you mean, but it seems to mean we're representing words with a neural network, as opposed to use a neural network to compute a vector representation of a word. "For CBOW, all the examples with the target word as target are fed into the networks, and taking the average of the extracted hidden layer." I don't think I got this... in CBOW the vector(?) representing a word is the average (a scalar?) of the middle layer of the NN?