I just met a terminology called "embedding" in a paper regarding deep learning. The context is "multi-modal embedding"
My guess: embedding of something is extract some feature of sth,to form a vector.
I couldn't get the explicit meaning for this terminology and that stops me from fully understanding the author's idea and model mechanism
I check the dictionary and search on line,but the explanation is based more on the real life meaning rather than meaning as a machine learning terminology.
And that raise a more generalized and frequently met question, when you find some machine learning terminology/word that you can't understand well, where can you get the solution, some specific way to google? join a machine learning group? raise a question in stack exchange?