人工智能
密歇根大学《深度学习计算机视觉》课程视频
课程目录
- 01 Introduction to Deep Learning for Computer Vision
- 02 Image Classification
- 03 Linear Classifiers
- 04 Optimization
- 05 Neural Networks
- 06 Backpropagation
- 07 Convolutional Networks
- 08 CNN Architectures
- 09 Hardware and Software
- 10 Training Neural Networks I
- 11 Training Neural Networks II
- 12 Recurrent Networks
- 13 Attention
- 14 Visualizing and Understanding
- 15 Object Detection
- 16 Detection and Segmentation
- 17 3D Vision
- 18 Videos
- 19 Generative Models I
- 20 Generative Models II
- 21 Reinforcement Learning
- 22 Conclusion
课程介绍
课程目录
01 Introduction to Deep Learning for Computer Vision
02 Image Classification
03 Linear Classifiers
04 Optimization
05 Neural Networks
06 Backpropagation
07 Convolutional Networks
08 CNN Architectures
09 Hardware and Software
10 Training Neural Networks I
11 Training Neural Networks II
12 Recurrent Networks
13 Attention
14 Visualizing and Understanding
15 Object Detection
16 Detection and Segmentation
17 3D Vision
18 Videos
19 Generative Models I
20 Generative Models II
21 Reinforcement Learning
22 Conclusion
