cs224n 2019

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Notes

笔记下载

笔记2

需要挂梯子，不然不显示图片，如果用ssr,要调到全局模式
转自:bitJoy

CS224N（1.8）introduction and Word Vectors

CS224N（1.10）Word Vectors 2 and Word Senses

CS224N（1.15 & 1.17）Backpropagation

CS224N（1.22）Dependency Parsing

CS224N（1.24）Language Models and RNNs

CS224N（1.29）Vanishing Gradients, Fancy RNNs

CS224N（1.31）Translation, Seq2Seq, Attention

CS224N（2.7）Question Answering

CS224N（2.12）Convolutional Networks for NLP

CS224N（2.14）Subword Models

CS224N（2.19）Contextual Word Embeddings

CS224N（2.21）Transformers and Self-Attention For Generative Models

CS224N（2.26）Natural Language Generation

CS224N（2.26）Coreference Resolution

CS224N（3.5）Multitask Learning

CS224N（3.7）Constituency Parsing, TreeRNNs

CS224N（3.12）Bias in AI

CS224N（3.14）Future of NLP + Deep Learning