# The maths behind a network

Subject: Deep Learning

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/#tee/guide/3

Canonical: https://deep-learning-study-room.vercel.app/read/dl/tee/guide/3/

1. [A vector is a list and a matrix is a table](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c3-s0/)
2. [Matrix multiplication: every row has a job](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c3-s1/)
3. [A graph and a slope](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c3-s2/)
4. [Derivatives without a calculus course](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c3-s3/)
5. [Derivatives: from an ordinary change to a local slope](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c3-s4/)
6. [Partial derivatives hold other things still](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c3-s5/)
7. [The chain rule is multiplying linked effects](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c3-s6/)
8. [The derivative of prediction error](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c3-s7/)
9. [Loss scaling: derive the gradient instead of guessing a factor](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c3-s8/)
10. [Probability mean and variance in plain language](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c3-s9/)
11. [Mean, variance and standard deviation from ordinary arithmetic](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c3-s10/)
12. [Standardization: what the answer 1 actually means](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c3-s11/)
13. [Chain rule: the complete calculation](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c3-s12/)