Stanford CS224D: Deep Learning for Natural Language Processing

CS224D Assignments; Assignment's Page

Notes

• Certain featuers may require a compiler to be installed: Visual Studio C++, GCC, clang
• Code base is stored in separate assignment directories; might contain ipython notebooks used for running and displaying results;
• Assignment will contain a small number of python modules (and possibly test scripts)
• Assignment directories might have a dataset directory (with either a scripts to download datasets, or at least details on how to get datasets);

Assignment 1

See Assignment1 README.md

• Softmax
• Neural Network Basics
• word2vec
• Sentiment Analysis

Assignment 2

See Assignment2 README.md

• TensorFlow Softmax (coding)
• TensorFlow NER Window Model (coding and theory)
• TensorFlow RNN Language Model (coding and theory)

Assignment 3

See Assignment3 README.md

• TensorFlow Recursive Neural Network (RNN) and Sentiment Analysis

Old Assignments

Assignments from 2015.

Assignment 1

See Assignment1 README.md

• Softmax
• Neural Network Basics
• word2vec
• Sentiment Analysis

Assignment 2

See Assignment2 README.md

• Boolean Logic
• Deep Network (for Named Entity Recognition)
• Recurrent Neural Networks (Language Modeling)

Assignment 3

See Assignment3 README.md

• Recursive Neural Network
• 2-Layer Deep RNN
• Recursive Neural Tensor Networks (Extra Credit)