A repository for pytorch NLP guidance 2019
Homework | Summary |
---|---|
1 | Review of Deep Learning and Introduction of Pytorch |
2 | Word Embedding |
3 | Classification Tasks in NLP |
4 | Language Models |
5 | Simple Figure Classification |
6 | Machine Translation |
7 | Seq2Seq Models and Attention Mechanism |
8 | QA System |