# Summary

📗 Examples and quizzes: E4
📗 Math homework: M5
📗 Monday lecture: 5:30 to 8:30, Guest Link
📗 Tuesday programming office hours: 5:00 to 6:00, Java Guest Link, Python Guest Link
📗 Wednesday math homework office hours: 5:00 to 6:00, Guest Link
📗 Thursday math homework office hours: 5:00 to 6:00, Guest Link
📗 Friday office hours for other things: 5:00 to 6:00, Guest Link

# Lectures

📗 Slides
Lecture 7: Slides.
Lecture 8: Slides.

📗 Videos
Lecture 7 Part 1: Link
Lecture 7 Part 2: Link
Lecture 7 Part 3: Link
Lecture 8 Part 1: Link
Lecture 8 Part 2: Link
Lecture 8 Part 3: Link

📗 Notes
As pointed out on Piazza: dense layers are fully-connected layers, I said they are different and it was a mistake.

# Other Materials

📗 Relavent websites
Conv Net on MNIST: Link
Conv Net Vis: Link
Jay's Conv Net Vis: Link
LeNet: Link
Image segmentation: Link, Link, Link
Image colorization: Link, Link, Link 
Image Reconstruction: Link
Drawing to Images: Link
Style Transfer: Link, Link
Move Mirror: Link
Pose Estimation: Link, Link
YOLO Attack: Link
Image Filter: Link
Canny Edge Detection: Link
SIFT: PDF
HOG: PDF
LeNet: PDF
Google Inception Net: PDF
CNN Architectures: Link
Super resolution: Link

📗 YouTube videos from 2019
How to find the HOG features? Link
How to count the number of weights for training for a convolutional neural network (LeNet)? Link
Example (Quiz): How to find the 2D convolution between two matrices? Link
Example (Homework): How to find a discrete approximate Gausian filter? Link