Stanford University School of Engineering

instructors:

• Fei-Fei Li: http://vision.stanford.edu/feifeili/
• Justin Johnson: http://cs.stanford.edu/people/jcjohns/
• Serena Yeung: http://ai.stanford.edu/~syyeung/

Justin Johnson

Follow the link below to see the video and get the link to the slides

1. Lecture 1 | Introduction to Convolutional Neural Networks for Visual Recognition

2. Lecture 2 | Image Classification

3. Lecture 3 | Loss Functions and Optimization

4. Lecture 4 | Introduction to Neural Networks

5. Lecture 5 | Convolutional Neural Networks

6. Lecture 6 | Training Neural Networks I

7. Lecture 7 | Training Neural Networks II

8. Lecture 8 | Deep Learning Software

9. Lecture 9 | CNN Architectures

10. Lecture 10 | Recurrent Neural Networks

11. Lecture 11 | Detection and Segmentation

12. Lecture 12 | Visualizing and Understanding

13. Lecture 13 | Generative Models

14. Lecture 14 | Deep Reinforcement Learning

15. Lecture 15 | Efficient Methods and Hardware for Deep Learning

16. Lecture 16 | Adversarial Examples and Adversarial Training