## Overview

• After talking about human language and word meaning, we’ll introduce the ideas of the word2vec algorithm for learning word meaning.
• Going from there, we’ll kind of concretely work through how you can work out objective function gradients with respect to the word2vec algorithm.
• We shall look into how optimization works.
• Finally, we develop a sense of how these word vectors work and what you can do with them.
• Key takeaway
• The really surprising result that word meaning can be represented not perfectly, but rather well by a large vector of real numbers gives a sense of how amazing deep learning word vectors are.

## Citation

If you found our work useful, please cite it as:

@article{Chadha2021Distilled,
title   = {},