LIGN 167Deep Learning for Natural Language Understanding
An introduction to neural network methods for analyzing linguistic data. Basic neural network architectures and optimization through backpropagation and stochastic gradient descent. Word vectors and recurrent neural networks, and their uses and limitations in modeling the structure of natural language.
Prerequisites
From the catalog: “MATH 10C or MATH 20C or MATH 31BH; ability to program.”
Where it sits in degree plans
One of the options in (3)
- Linguistics (B.A.)
- Linguistics (Cognition and Language) (B.A.)
- Linguistics (Language and Society) (B.A.)
Courses that list LIGN 167 as a prerequisite (1)
- LIGN 169 Information Theory in Linguistics