Introduction to deep learning
In this course, I will introduce the basic knowledge of deep learning. Designed for beginners, we will start with the essential tools, including Python installation and basic programming concepts. We will delve into statistical models that underpin deep learning techniques. Towards the end of the course, we will explore the exciting intersection of deep learning and quantum simulation. This segment will introduce the principles of quantum computing and discuss how deep learning techniques can be applied in the context of quantum systems.
讲师
日期
2025年10月15日 至 2026年01月05日
位置
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| 周一,周三 | 15:20 - 16:55 | A3-1-103 | ZOOM 04 | 482 240 1589 | BIMSA |
参考资料
1. 动手学深度学习 https://zh.d2l.ai/
听众
Undergraduate
视频公开
不公开
笔记公开
不公开
语言
中文
讲师介绍
Hao Dai received her Ph.D. from the Chinese Academy of Sciences in 2020. Following that, from 2020 to 2023, she worked as a postdoctoral fellow at Tsinghua University. In 2023, she has become an Assistant Professor at BIMSA. Her primary research interests encompass the domains of quantum information and computation.