Elective: Natural Language Processing with Deep Learning
Home
Syllabus
Session
▾
1. Introduction
2. Introduction to PyTorch and Neural Networks
3. Feed Forward Neural Networks
4. Embeddings
5. Sequence Modelling
6. Project Presentations
☰
Introduction to PyTorch and Foundations of Neural Networks
Required Readings
Chapters 1 & 3 of “Natural Language Processing with PyTorch”
Optional Readings
From the Online PyTorch Tutorial
https://pytorch.org/tutorials/beginner/ptcheat.html
https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html
Installation Instructions:
https://pytorch.org/get-started/locally/