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