This course covers deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written and programming), and a large project.
Deep Learning for Healthcare 专项课程伊利诺伊大学香槟分校课程信息
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可灵活调整截止日期
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可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 3 门课程（共 3 门）
高级
We recommend a solid foundation in one of the fields adjacent to the topic of the course, such as Computer Science, Data Science, Medicine.
完成时间大约为16 小时
英语（English）
字幕：英语（English）
您将获得的技能
- Graphs
- Unsupervised Learning
- Autoencoder
- Deep Learning
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 3 门课程（共 3 门）
高级
We recommend a solid foundation in one of the fields adjacent to the topic of the course, such as Computer Science, Data Science, Medicine.
完成时间大约为16 小时
英语（English）
字幕：英语（English）
提供方
伊利诺伊大学香槟分校
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
立即开始攻读硕士学位
此 课程 与 伊利诺伊大学香槟分校 提供的 100% 在线 Master in Computer Science 相关。它将为您提供主题、材料和授课教师的预览，以便您确定完整在线学位课程是否适合您。
授课大纲 - 您将从这门课程中学到什么
完成时间为 5 小时
Week 1 - Attention Models
Attention Models are useful to detect specific features in a data source. We'll explain how it can be applied to the risk of heart failure.
完成时间为 5 小时
4 个视频 （总计 30 分钟）, 3 个阅读材料, 2 个测验
完成时间为 5 小时
Week 2 - Graph Neural Networks
In this week we'll explain the fundamentals of Graph Neural Networks.
完成时间为 5 小时
5 个视频 （总计 36 分钟）, 2 个阅读材料, 2 个测验
完成时间为 3 小时
Week 3 - Memory Networks
We'll explain the principles behind Memory Networks and how they can be used for predictions in medical applications.
完成时间为 3 小时
8 个视频 （总计 87 分钟）, 2 个阅读材料, 1 个测验
完成时间为 3 小时
Week 4 - Generative Models
We'll discuss Generative Networks, as well as the method of Variational Autoencoder
完成时间为 3 小时
4 个视频 （总计 55 分钟）, 2 个阅读材料, 1 个测验
关于 Deep Learning for Healthcare 专项课程
This specialization is intended for persons involved in machine learning who are interested in medical applications, or vice versa, medical professionals who are interested in the methods modern computer science has to offer to their field. We will cover health data analysis, different types of neural networks, as well as training and application of neural networks applied on real-world medical scenarios.
常见问题
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