# Summary

📗 Examples and quizzes: E5 and E6 and E7 and E8
📗 Math homework: M4 and M5
📗 Programming homework: P2
📗 Tuesday to Friday lectures: 12:30 to 1:45, 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 5: Slides.
Lecture 6: Slides.
Lecture 7: Slides.
Lecture 8: Slides.

📗 Videos
Lecture 5 Part 1: Link
Lecture 5 Part 2: Link
Lecture 5 Part 3: Link
Lecture 6 Part 1: Link
Lecture 6 Part 2: Link
Lecture 6 Part 3: Link
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
I made a video going though how auto-grading is done for P2 in case you are interested: Link.
As pointed out on Piazza: dense layers are fully-connected layers, I said they are different and it was a mistake.
I did not talk about k-d tree this time, so if you would like to implement kNN, the Wikipedia page has some useful details: Link
For Christopher Nolan fans: the entropy (information theory) we are discussing for decision trees is different from the entropy (second law of thermodynamics) related to the movie TENƎꓕ. Maybe someone could explain to me how they are related? Wikipedia?

# Other Materials

📗 Relavent websites
Support Vector Machine: Link
Kernel Trick Video: Link
RBF Kernel SVM Demo: Link
Art or garbage game: Link
Decision Tree: Link
Random Forrest Demo: Link
K Nearest Neighbor: Link
Map of Manhattan: Link
Voronoi Diagram: Link
KD Tree: Link
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
CNN Architectures: Link
Super resolution: Link

📗 YouTube videos from 2019
How to find the margin expression for SVM? Link
Why does the kernel trick work? Link
Example (Quiz): Compute SVM classifier Link
Example (Quiz): Kernel SVM for XOR operator Link
Example (Quiz): Kernel matrix to feature vector Link
Example (Quiz): Entropy computation Link
Example (Quiz): Decision tree for implication operator Link
Example (Quiz): Three nearest neighbor Link
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