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and welcome to this video weamp;#39;re going to start a new series on embedding methods for for nlp but weamp;#39;re also going to have a look at other embedding methods as well so mainly weamp;#39;re going to be focusing on on language dents and beddings we might have look at sparse embeddings but weamp;#39;ve already covered that before so iamp;#39;m not 100 sure on that but definitely dance embeddings weamp;#39;re going to also have a look at how we can build and beddings for images and maybe some other media formats as well so i think this series of articles and videos will be will be pretty exciting now what i want to start with is having a look at weamp;#39;re basically quickly introducing what dense vectors and dense embeddings are and whilst we do that iamp;#39;m going to refer a lot to word to vector because thatamp;#39;s the first widely adopted version of this and then weamp;#39;re going to have a look at sentence embeddings so how we can build sentence embeddings
