# Recurrent neural networks

Subject: Deep Learning

Exam: TEE

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

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

State equations, parameter sharing and sequence mappings. The MT2 route covers introductory RNNs; TEE adds recurrent training and gated architectures.

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. [Reading recurrent memory and gates](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s3/)
4. [The vanilla RNN equations from scratch](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s4/)
5. [A complete vector RNN calculation](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s5/)
6. [Drill 41 Two RNN steps](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c17-s41/)
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. [Drill 45 BPTT shared weights](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c17-s45/)
10. [Vanishing and exploding gradients](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s8/)
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. [Drill 42 LSTM with a negative candidate](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c17-s42/)
15. [LSTM numerical when gates must first be calculated](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s13/)
16. [Drill 43 Calculate gates before the cell](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c17-s43/)
17. [Drill 50 Three step LSTM retention and replacement](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c17-s50/)
18. [GRU two gates and one state](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s14/)
19. [Drill 44 GRU reset then mix](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c17-s44/)
20. [Comparing the three recurrent models](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s15/)
21. [Sequence mappings and applications](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s17/)
22. [Recurrent networks: the complete relationship](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s18/)
23. [Gate logic without memorizing a story](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c9-s19/)
24. [F25 Q1d](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c11-s3/)
25. [F25 Q4b](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c11-s9/)
26. [F25 Q5a](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c11-s10/)
27. [R26 Q1d](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c12-s3/)
28. [R26 Q4b](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c12-s9/)
29. [R26 Q5a](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c12-s10/)
30. [F23 Q1c](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c13-s2/)
31. [F23 Q4b](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c13-s9/)
32. [F23 Q6a](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c13-s12/)
33. [F23 Q7a](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c13-s14/)
34. [R24 Q5b](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c14-s11/)
35. [R24 Q6a](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c14-s12/)
36. [R24 Q7a](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c14-s14/)
37. [R24 Q7b](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c14-s15/)
38. [F22 Q1e](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c15-s4/)
39. [F22 Q2a](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c15-s5/)
40. [F22 Q5a](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c15-s11/)
41. [F22 Q7a](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c15-s15/)
42. [R23 Q1a](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c16-s0/)
43. [R23 Q3a](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c16-s7/)
44. [R23 Q5a](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c16-s11/)
45. [R23 Q7a](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c16-s15/)