# Recurrent neural networks

Subject: Deep Learning

Exam: TEE

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

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

1. [Complete the entire sequence chapter](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s0/)
2. [What makes a sequence different](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s1/)
3. [Model answer: why recurrent networks use a hidden state](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s2/)
4. [Reading recurrent memory and gates](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s3/)
5. [The vanilla RNN equations from scratch](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s4/)
6. [A complete vector RNN calculation](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s5/)
7. [How an RNN is trained](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s6/)
8. [BPTT with every arithmetic step visible](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s7/)
9. [Vanishing and exploding gradients](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s8/)
10. [Model answer: backpropagation through time](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s9/)
11. [LSTM a memory path with three gates](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s10/)
12. [Reading an LSTM equation one operation at a time](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s11/)
13. [LSTM complete numerical with supplied gates](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s12/)
14. [LSTM numerical when gates must first be calculated](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s13/)
15. [GRU two gates and one state](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s14/)
16. [Comparing the three recurrent models](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s15/)
17. [Model answer: LSTM and GRU memory](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s16/)
18. [Sequence mappings and applications](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s17/)
19. [Recurrent networks: the complete relationship](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s18/)
20. [Gate logic without memorizing a story](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s19/)