# Convolutional neural networks

Subject: Deep Learning

Exam: TEE

Reader: https://deep-learning-study-room.vercel.app/#tee/guide/7

Canonical: https://deep-learning-study-room.vercel.app/read/dl/tee/guide/7/

1. [Reading image shapes before doing CNN arithmetic](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s0/)
2. [A computer sees an image as numbers](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s1/)
3. [The convolution calculation](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s2/)
4. [Stride padding and floor](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s3/)
5. [Convolution over several channels](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s4/)
6. [One filter over multiple channels: all contributions go into one cell](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s5/)
7. [Choosing more or fewer filters](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s6/)
8. [Pooling needs comparisons or averages](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s7/)
9. [Parameters are different from activation values](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s8/)
10. [One complete CNN pipeline](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s9/)
11. [CNN versus a fully connected image network](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s10/)
12. [Model answer: CNN structure and parameter sharing](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s11/)
13. [Output size and parameter count are different](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s12/)
14. [Model answer: shape, activations and parameters](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s13/)
15. [Faculty example: a complete binary-image convolution](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s14/)
16. [Faculty example: combine three RGB channel sums](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s15/)
17. [Max, min and average pooling on the same lecture grid](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s16/)
18. [Faculty CNN table: shapes, activations and 62958 parameters](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s17/)
19. [Even-sized kernels: SAME padding is not always symmetric](https://deep-learning-study-room.vercel.app/read/dl/tee/section/tee-c7-s18/)