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.
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