CS224n-2019-01-Introduction and Word Vectors.pdf
CS224n-2019-02-Word Vectors 2 and Word Senses.pdf
CS224n-2019-03-Word Window Classification,Neural Networks, and Matrix Calculus.pdf
CS224n-2019-04-Backpropagation and Computation Graphs.pdf
CS224n-2019-05-Linguistic Structure Dependency Parsing.pdf
CS224n-2019-06-The probability of a sentence Recurrent Neural Networks and Language Models.pdf
CS224n-2019-07-Vanishing Gradients and Fancy RNNs.pdf
CS224n-2019-08-Machine Translation, Sequence-to-sequence and Attention.pdf
CS224n-2019-09-Practical Tips for Final Projects.pdf
CS224n-2019-10-Question Answering and the Default Final Project.pdf
CS224n-2019-11-ConvNets for NLP.pdf
CS224n-2019-12-Information from parts of words Subword Models.pdf
CS224n-2019-13-Modeling contexts of use Contextual Representations and Pretraining.pdf
CS224n-2019-14-Transformers and Self-Attention For Generative Models.pdf
CS224n-2019-15-Natural Language Generation.pdf
CS224n-2019-16-Coreference Resolution.pdf
CS224n-2019-17-Multitask Learning.pdf
CS224n-2019-18-Tree Recursive Neural Networks, Constituency Parsing, and Sentiment.pdf
CS224n-2019-19-Safety, Bias, and Fairness.pdf
CS224n-2019-20-The Future of NLP + Deep Learning.pdf
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