https://github.com/bogatyy/cs224d

Code for Stanford CS224D: deep learning for natural language understanding
https://github.com/bogatyy/cs224d

deep-learning natural-language recurrent-neural-networks tensorflow tensorflow-examples tensorflow-tutorials

Last synced: about 23 hours ago
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Code for Stanford CS224D: deep learning for natural language understanding

• Host: GitHub
• URL: https://github.com/bogatyy/cs224d
• Owner: bogatyy
• License: mit
• Created: 2016-09-14T22:44:17.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2020-06-11T10:38:58.000Z (over 4 years ago)
• Last Synced: 2024-09-27T21:02:17.397Z (about 2 months ago)
• Topics: deep-learning, natural-language, recurrent-neural-networks, tensorflow, tensorflow-examples, tensorflow-tutorials
• Language: Python
• Size: 86 MB
• Stars: 224
• Watchers: 12
• Forks: 90
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# cs224d

Code for Stanford CS224D: deep learning for natural language understanding

The interesting part is Assignment 3, implementing recursive (tree-structured) neural networks using `tf.while_loop` for 16x faster training and 8x faster inference.

Assignments 1 and 2 are the standard solutions for class assignments, with tiny variations.