Intro 3 - Language Modeling and NN Basics (9/7/2021)

Content:

  • Language Modeling Problem Definition
  • Count-based Language Models
  • Measuring Language Model Performance: Accuracy, Likelihood, and Perplexity
  • Log-linear Language Models
  • Neural Network Basics
  • Feed-forward Neural Network Language Models

Reading Material

Slides: LM Slides
Video: LM Video
Sample Code: LM Code Examples

<-- Back To Schedule