Tutorial

Guest Lecture. Adversarial Examples and Adversarial Training

该笔记根据的视频课程版本是 [Spring 2017](https://www.bilibili.com/video/av17204303/?p=34)(BiliBili)，PPt 资源版本是 [Spring 2017](http://cs231n.stanford.edu/2017/syllabus)..

Guest Lecture. Efficient Methods and Hardware for Deep Learning

该笔记根据的视频课程版本是 [Spring 2017](https://www.bilibili.com/video/av17204303/?p=34)(BiliBili)，PPt 资源版本是 [Spring 2017](http://cs231n.stanford.edu/2017/syllabus)..

Lecture 14. Deep Reinforcement Learning

该笔记根据的视频课程版本是 [Spring 2017](https://www.bilibili.com/video/av17204303)(BiliBili)，PPt 资源版本是 [Spring 2018](http://cs231n.stanford.edu/syllabus.html).

Lecture 13. Visualizing and Understanding

该笔记根据的视频课程版本是 [Spring 2017](https://www.bilibili.com/video/av17204303)(BiliBili)，PPt 资源版本是 [Spring 2018](http://cs231n.stanford.edu/syllabus.html).

Lecture 12. Generative Models

该笔记根据的视频课程版本是 [Spring 2017](https://www.bilibili.com/video/av17204303)(BiliBili)，PPt 资源版本是 [Spring 2018](http://cs231n.stanford.edu/syllabus.html).

Lecture 11. Detection and Segmentation

该笔记根据的视频课程版本是 [Spring 2017](https://www.bilibili.com/video/av17204303)(BiliBili)，PPt 资源版本是 [Spring 2018](http://cs231n.stanford.edu/syllabus.html).

Lecture 10. Recurrent Neural Networks

该笔记根据的视频课程版本是 [Spring 2017](https://www.bilibili.com/video/av17204303)(BiliBili)，PPt 资源版本是 [Spring 2018](http://cs231n.stanford.edu/syllabus.html).

Lecture 9. CNN Architectures

该笔记根据的视频课程版本是 [Spring 2017](https://www.bilibili.com/video/av17204303)(BiliBili)，PPt 资源版本是 [Spring 2018](http://cs231n.stanford.edu/syllabus.html).

Lecture 8. Deep Learning Hardware and Software

该笔记根据的视频课程版本是 [Spring 2017](https://www.bilibili.com/video/av17204303)(BiliBili)，PPt 资源版本是 [Spring 2018](http://cs231n.stanford.edu/syllabus.html).

Lecture 7. Training Neural Networks, part 2

该笔记根据的视频课程版本是 [Spring 2017](https://www.bilibili.com/video/av17204303)(BiliBili)，PPt 资源版本是 [Spring 2018](http://cs231n.stanford.edu/syllabus.html).