# Convolutional neural networks

Subject: Deep Learning

Exam: MT2

Reader: https://deep-learning-study-room.vercel.app/#mt2/read/7

Canonical: https://deep-learning-study-room.vercel.app/read/dl/mt2/chapter/7/

Convolution, pooling, output dimensions and parameter counts, including full network calculations.

1. [Reading image shapes before doing CNN arithmetic](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c7-s0/)
2. [The convolution calculation](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c7-s2/)
3. [Drill 32 Convolution with a negative coefficient](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c17-s32/)
4. [Stride padding and floor](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c7-s3/)
5. [Drill 33 Padding stride and channels](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c17-s33/)
6. [Drill 36 Reverse a spatial formula](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c17-s36/)
7. [One filter over multiple channels: all contributions go into one cell](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c7-s5/)
8. [Pooling needs comparisons or averages](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c7-s7/)
9. [Drill 34 Max and average pooling](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c17-s34/)
10. [Parameters are different from activation values](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c7-s8/)
11. [One complete CNN pipeline](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c7-s9/)
12. [Drill 35 Complete small CNN](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c17-s35/)
13. [Drill 40 Mixed convolution pool dense and loss](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c17-s40/)
14. [Drill 43 Mixed CNN dimensions softmax and loss](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c17-s43/)
15. [CNN versus a fully connected image network](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c7-s10/)
16. [Faculty example: a complete binary-image convolution](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c7-s14/)
17. [Faculty example: combine three RGB channel sums](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c7-s15/)
18. [Max, min and average pooling on the same lecture grid](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c7-s16/)
19. [Faculty CNN table: shapes, activations and 62958 parameters](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c7-s17/)
20. [Even-sized kernels: SAME padding is not always symmetric](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c7-s18/)
21. [F25 Q6a](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c11-s6/)
22. [F25 Q7b](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c11-s7/)
23. [R26 Q3b](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c12-s3/)
24. [R26 Q6a](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c12-s7/)
25. [F23 Q1d](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c13-s1/)
26. [R24 Q1d](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c14-s1/)
27. [R24 Q4b](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c14-s4/)
28. [R24 Q5a](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c14-s5/)
29. [F22 Q1a](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c15-s0/)
30. [F22 Q3b](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c15-s4/)
31. [F22 Q6a](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c15-s8/)
32. [R23 Q1b](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c16-s1/)
33. [R23 Q2a](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c16-s3/)
34. [R23 Q4a](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c16-s5/)
35. [R23 Q6b](https://deep-learning-study-room.vercel.app/read/dl/mt2/section/mt2-c16-s8/)