CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
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Updated
Oct 15, 2018 - Python
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CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See,感谢所有助教!
an Open Course Platform for Stanford CS224n (2020 Winter)
All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford
My completed implementation solutions for CS224N 2019
Solutions for CS224n course from Stanford University: Natural Language Processing with Deep Learning
Stanford cs224n. 斯坦福2019最新cs224n学习资料 个人学习笔记和解读以及作业解答。 http://web.stanford.edu/class/cs224n/
2017Winter_CS224n作业
Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020
Stanford University cs224n Assignments solutions
Exercise answers to the problem sets from CS224n: Natural Language Processing with Deep Learning Winter quarter (January - March, 2017)
Stanford CS224n Natural Language Processing with Deep Learning课程资料(2017)
Solutions of Stanford's CS224n (Natural Language Processing with Deep Learning) assignments.
Solutions for Stanford CS224n, Winter 2020.
CS224n: Natural Language Processing with Deep Learning
Final project for Winter 2017 CS224n class
The course notes about Stanford CS224n Natural Language Processing with Deep Learning Winter 2019 (using PyTorch)
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Nice work!
The version of implementation can reach 22+ BLUE score. However, my implementation have only 0.16+ BLUE score on test dataset. Comparing with your work, I found changing the concatenation
torch.cat((Y_t, o_pre), dim=1)totorch.cat((o_pre, Y_t), dim=1)can only reach 0.16+ BLUE score.B.W.T. chaging the concatenating order between
dec_hiddenanda_tinstepfunction also