📗 -> 05/07/25: ECS189G-L12
sec_7_convolutional_neural_net.pdf - Google Drive
🎤 Vocab
❗ Unit and Larger Context
Summary of Section 7 - CNN
Conventional Image Processing
- Weakness of MLP for image processing
- Image processing operations with convolution operator
- What is convolution?
- How to calculate convolution on images?
- Several key parameters to set
Convolutional Neural Network - What is the CNN architecture?
- What is the pooling layer used for and how to calculate it?
- CNN and its different variants
- How to make CNN deeper?
- What is residual learning? What is ResNet?
✒️ -> Scratch Notes
Convolution
is the convolution operator - Effectively, smooths out one function by another function
- Its commutative:
For
🧪 -> Refresh the Info
Did you generally find the overall content understandable or compelling or relevant or not, and why, or which aspects of the reading were most novel or challenging for you and which aspects were most familiar or straightforward?)
Did a specific aspect of the reading raise questions for you or relate to other ideas and findings you’ve encountered, or are there other related issues you wish had been covered?)
🔗 -> Links
Resources
- Put useful links here
Connections
- Link all related words