CS224n and cs224n-2020-winter
These are complements representing different course iterations—one containing the 2017 winter assignments while the other provides the 2020 winter lecture notes, slides, and assignments—so users would reference both to access complete materials across different years of the same Stanford NLP course.
About CS224n
hankcs/CS224n
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
Implements core NLP tasks including word embeddings (word2vec), transition-based dependency parsing (88.92% test UAS), and named entity recognition with both RNN and GRU architectures using TensorFlow r1.2. Covers foundational deep learning concepts through progressively complex assignments spanning softmax classification, language modeling with unrolled RNNs, and sequence labeling with gradient clipping experiments.
About cs224n-2020-winter
maxim5/cs224n-2020-winter
All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford
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