Training a neural network for learning word embeddings

Опубликовано: 04 Май 2026
на канале: Applied Language Technology
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In this video, we will train a neural network to predict which words tend to co-occur with each other. We then extract vector representations, that is, the so-called word embeddings, for individual words, which the network has learned while learning the task!

✨ Check out the learning materials associated with this video: https://applied-language-technology.m...

✨ Clone the repository with Jupyter Notebooks for interactive computing from GitHub: https://github.com/Applied-Language-T...

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