文件列表:

LICENSE (1062, 2018-09-22)
assignment1 (0, 2018-09-22)
assignment1\Makefile (183, 2018-09-22)
assignment1\assignment description (0, 2018-09-22)
assignment1\assignment description\assignment1.pdf (207927, 2018-09-22)
assignment1\collect_submission.sh (79, 2018-09-22)
assignment1\get_datasets.sh (673, 2018-09-22)
assignment1\imgs (0, 2018-09-22)
assignment1\imgs\q3_word_vectors.png (30818, 2018-09-22)
assignment1\imgs\q4_dev_conf.png (22112, 2018-09-22)
assignment1\imgs\q4_reg_v_acc.png (22666, 2018-09-22)
assignment1\q1_softmax.py (2805, 2018-09-22)
assignment1\q2_gradcheck.py (3315, 2018-09-22)
assignment1\q2_neural.py (4119, 2018-09-22)
assignment1\q2_sigmoid.py (2239, 2018-09-22)
assignment1\q3_run.py (2236, 2018-09-22)
assignment1\q3_sgd.py (4178, 2018-09-22)
assignment1\q3_word2vec.py (10068, 2018-09-22)
assignment1\q4_dev_pred.txt (119461, 2018-09-22)
assignment1\q4_sentiment.py (8022, 2018-09-22)
assignment1\requirements.txt (31, 2018-09-22)
assignment1\saved_params_5000.npy (9058249, 2018-09-22)
assignment1\utils (0, 2018-09-22)
assignment1\utils\__init__.py (0, 2018-09-22)
assignment1\utils\glove.py (733, 2018-09-22)
assignment1\utils\treebank.py (7593, 2018-09-22)
assignment2 (0, 2018-09-22)
assignment2\assignment description (0, 2018-09-22)
assignment2\assignment description\assignment2.pdf (303336, 2018-09-22)
assignment2\model.py (4150, 2018-09-22)
assignment2\q1_classifier.py (8408, 2018-09-22)
assignment2\q1_softmax.py (3642, 2018-09-22)
assignment2\q2_initialization.py (1641, 2018-09-22)
assignment2\q2_parser_model.py (9429, 2018-09-22)
assignment2\q2_parser_transitions.py (6863, 2018-09-22)
assignment2\utils (0, 2018-09-22)
assignment2\utils\__init__.py (0, 2018-09-22)
... ...

# CS224N Assignments Solutions for cs224n(Deep Learning For Natural Language Processing) course by stanford university ## Prerequisites 1. Install [Anaconda](https://www.continuum.io/downloads "Anaconda Official Website") 2. go to assignmentX where X is either 1, 2, 3 using a Terminal: ```sh $ cd \path\to\assignment1 ``` 3. create a python 2.7 environnment using ```sh $ conda env -n cs224n python=2.7 anaconda ``` 4. activate your environment using (add source before activate if you're working with Linux/Mac) ```sh $ activate cs224n ``` 5. install the dependencies using requirements.txt ```sh $ pip install -r requirements.txt ``` 6. Don't forget to deactivate your environment when you're done (add source before deactivate if you're on Linux/Mac) ```sh $ deactivate cs224n ## Deployment ### Assignment 1 #### Word2vec Steps for training Word2vec in assignment 1 : 1. Go to folder /assignment 1 2. Run get_datasets.sh(By running this file you can download datasets) 3. Open a terminal and write(Be careful, for this assignment you should have installed python2.7) : ```sh $ python q3_run.py ``` #### Sentiment Analysis(before you running this section you should download datasets as i mentioned in Word2vec section) 1. If you want to use logistic regression classifier on word vectors that we trained in Word2vec section you can use this code : ```sh $ cd path/to/assignment1 $ python q4_sentiment.py --yourvectors ``` 2. If you want to use pretrained GLOVE model you can use this code : ```sh $ cd path/to/assignment1 $ python q4_sentiment.py --pretrained ``` ## Results ### Assignment 1 #### Word2vec  ### Sentiment analysis train/dev accuracy  ### Sentiment analysis truth table  ## Built With * [Numpy](http://www.numpy.org/) - A library for doing optimized matrix operations * [Matplotlib](https://matplotlib.org/) - A library for visulizing our outputs as graphs * [scipy](https://www.scipy.org/) - A Library for doing mathematic, science and engineering stuff. * [sklearn](http://scikit-learn.org/stable/) - Simple and efficient Library for data mining and data analysis ## License This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details

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