Word embedding is the first step in lots of neural networks, including Transformers (like ChatGPT) and other state of the 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: https://youtu.be/viZrOnJclY0 If you'd like to support StatQuest, please consider... Patreon: https://www.patreon.com/statquest ...or... YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join ...buying my book, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... https://statquest.org/statquest-store/ ...or just donating to StatQuest! paypal: https://www.paypal.me/statquest venmo: @JoshStarmer Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: https://twitter.com/joshuastarmer 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 #StatQuest #neuralnetworks #transformers