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My learning notes on cs224n, including the implementations of some algorithms, completed assignments and a final project.

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CS224n: Natural Language Processing with Deep Learning - Study Notes

Personal study notes and code implementations for Stanford's CS224n: Natural Language Processing with Deep Learning course.

📚 Course Information

  • Course: CS224n: Natural Language Processing with Deep Learning
  • University: Stanford University
  • Instructors: Christopher Manning
  • Course Website: https://web.stanford.edu/class/cs224n/
  • Academic Year: Winter 2024

Core Lecture Topics

  • [✓] Lecture 1: Introduction and Word Vectors
  • [✓] Lecture 2: Neural Classifiers
  • [✓] Lecture 3: Backprop and Neural Networks
  • Lecture 4: Dependency Parsing
  • [✓] Lecture 5&6: Recurrent Neural Networks & Simple and LSTM RNNs
  • [✓] Lecture 7: Translation, Seq2Seq, Attention
  • [✓] Lecture 8: Self Attention and Transformers

Selected Projects

A Neural Machine Translator completed in Lecture 7

About

My learning notes on cs224n, including the implementations of some algorithms, completed assignments and a final project.

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