Intro to NLP part 1
Status: PastSlides available below
This resource is an introduction to what NLP or Natural Language Processing is, some of its well-known algorithms like RNN, LSTM, GPT-2, and Attention models.
- Why is NLP Hard?
- Modeling Using Language Derived Features
- Language Models
- Previous Ways of Representing Language as ML Input
- Vanilla Neural Networks
- GPT2: Scarily Good Sequence Generation
- Attention: Overview
Basics of NLP, TF -IDF, and spacy for tokenization
NLP_Basics.pdf (453.9 KB)