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AnswerGradingWithLSTM

1-) word2vec files saved as a dictionary. This file is my_vector_dictionary.npy If you want to work on this dictionary, you can send me an e-mail for sharing file link or you should generate word2vec dictionary.

2-) Also as shown below two different question and two different models:

'q270DataBatch16Epoch40Shuffled.h5'

'q170DataBatch16Epoch40Shuffledq3.h5'

3-) If you get this models, you can run DataTrain170q3.py and DataTrain270.py files. If you do not have GPU. You can use Google Colaps. Except these nothing is not neccessary.

4-) After all. You can run Demo.py

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