In this video, we will learn about training word embeddings. To train word embeddings, we need to solve a fake problem. This problem is something that we do not care about. What we care about are the weights that are obtained after training the model. These weights are extracted and they act as word embeddings.
This is part 1/2 for training word embeddings. In this part, we only understand the theory behind training word embeddings. In the next part, we will code the same in python.
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Timestamps:
0:00 Intro
0:54 Training Word Embedding
9:18 End
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