stanford-cs224n

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stanford-cs224n

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Exercise answers to the problem sets from CS224n: Natural Language Processing with Deep Learning Winter quarter (January - March, 2017)

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# 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
```

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