- Course Website: https://web.eecs.umich.edu/~justincj/teaching/eecs498/
- Instructor: Justin Johnson
# | Content | Slide |
---|---|---|
Lecture 1 | Introduction to Deep Learning for Computer Vision | Slide 01 |
Lecture 2 | Image Classification | Slide 02 |
Lecture 3 | Linear Classifiers | Slide 03 |
Lecture 4 | Optimization | Slide 04 |
Lecture 5 | Neural Networks | Slide 05 |
Lecture 6 | Backpropagation | Slide 06 |
Lecture 7 | Convolutional Networks | Slide 07 |
Lecture 8 | CNN Architectures | Slide 08 |
Lecture 9 | Hardware and Software | Slide 09 |
Lecture 10 | Training Neural Networks I | Slide 10 |
Lecture 11 | Training Neural Networks II | Slide 11 |
Lecture 12 | Recurrent Networks | Slide 12 |
Lecture 13 | Attention | Slide 13 |
Lecture 14 | Visualizing and Understanding CNNs | Slide 14 |
Lecture 15 | Object Detection | Slide 15 |
Lecture 16 | Detection and Segmentation | Slide 16 |
Lecture 17 | 3D Vision | Slide 17 |
Lecture 18 | Videos | Slide 18 |
Lecture 19 | Generative Models I | Slide 19 |
Lecture 20 | Generative Models II | Slide 20 |
Lecture 21 | Reinforcement Learning | Slide 21 |
Lecture 22 | Conclusion | Slide 22 |