# Recurrent neural networks

Subject: Deep Learning

Exam: MT2

Reader: https://deep-learning-study-room.vercel.app/#mt2/guide/9

Canonical: https://deep-learning-study-room.vercel.app/read/dl/mt2/guide/9/

1. [Start here](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c9-intro/)
2. [What makes a sequence different](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c9-s0/)
3. [Model answer: why recurrent networks use a hidden state](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c9-s1/)
4. [The vanilla RNN equations from scratch](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c9-s2/)
5. [A complete vector RNN calculation](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c9-s3/)
6. [Sequence mappings and applications](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c9-s4/)
7. [Shared weights and RNN applications](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c9-s5/)