Word embedding is the first step in lots of neural networks, including Transformers (like ChatGPT) and other state of the art models. Here we learn how to code a stand alone word embedding network from scratch and with nn.Linear. We then learn how to load and use pre-trained word embedding values with nn.Embedding.

NOTE: This StatQuest assumes that you are already familiar with Word Embedding, if not, check out the 'Quest:    • Word Embedding and Word2Vec, Clearly ...  

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0:00 Awesome song and introduction
1:53 Importing modules
2:48 Encoding the training data
6:55 Word Embedding from scratch
16:54 Graphing the embedding values
21:17 Printing out predicted words
20:37 Word Embedding with nn.Linear
28:12 Loading and using pre-trained Embedding values with nn.Embedding

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