https://github.com/zyxue/stanford-cs224n
Exercise answers to the problem sets from CS224n: Natural Language Processing with Deep Learning Winter quarter (January - March, 2017)
https://github.com/zyxue/stanford-cs224n
cs224n deep-learning deep-neural-networks nlp stanford-machine-learning stanford-nlp tensorflow
Last synced: 9 days ago
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Exercise answers to the problem sets from CS224n: Natural Language Processing with Deep Learning Winter quarter (January - March, 2017)
- Host: GitHub
- URL: https://github.com/zyxue/stanford-cs224n
- Owner: zyxue
- Created: 2017-04-16T02:54:50.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2019-02-20T17:38:03.000Z (about 6 years ago)
- Last Synced: 2025-03-31T07:41:28.432Z (about 2 months ago)
- Topics: cs224n, deep-learning, deep-neural-networks, nlp, stanford-machine-learning, stanford-nlp, tensorflow
- Language: Jupyter Notebook
- Homepage: http://web.stanford.edu/class/cs224n/
- Size: 17.1 MB
- Stars: 10
- Watchers: 2
- Forks: 13
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Standford CS224n
The three assignments are considered completed. In the future, following work on
the selected final project may be added here, too.
For each question in each assignment, besides the coding part, I usually have a
corresponding jupyter notebook to record my written answers. They main include
more details (e.g. backpropagation derivation) and could be used as in
complementary to the stanford solution files.
## The course
CS224n: Natural Language Processing with Deep Learning
Winter quarter (January - March, 2017)
http://web.stanford.edu/class/cs224n/syllabus.html
## nbviewer
If some equations do not show up correctly on github rendered notebooks (.ipynb
files), please try nbviewer.
http://nbviewer.jupyter.org/github/zyxue/stanford-cs224n/tree/master/
## Note
This course used Python 2.7.
## Tensorflow 1.2
```
# Due to version constraints of cudnn 5, higher version of tensorflow than 1.2 may not work
pip install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-0.12.1-cp27-none-linux_x86_64.whl
```