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.
Offered By
Deep Learning for Healthcare SpecializationUniversity of Illinois at Urbana-ChampaignAbout this Course
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Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 2 of 3 in the
Advanced Level
We recommend a solid foundation in one of the fields adjacent to the topic of the course, such as Computer Science, Machine Learning, Medicine.
Approx. 22 hours to complete
English
Subtitles: English
Skills you will gain
- Graphs
- Unsupervised Learning
- Autoencoder
- Deep Learning
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 2 of 3 in the
Advanced Level
We recommend a solid foundation in one of the fields adjacent to the topic of the course, such as Computer Science, Machine Learning, Medicine.
Approx. 22 hours to complete
English
Subtitles: English
Offered by
University of Illinois at Urbana-Champaign
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.
Start working towards your Master's degree
This course is related to the 100% online Master in Computer Science from University of Illinois at Urbana-Champaign. It will provide you with a preview of the topics, materials and instructors so you can decide if the full online degree program is right for you.
Syllabus - What you will learn from this course
6 hours to complete
Week 1 - Embedding
An overview of the course and everything about Embedding.
6 hours to complete
5 videos (Total 52 min), 3 readings, 2 quizzes
6 hours to complete
Week 2 - Convolutional Neural Networks (CNN)
We discuss the importance of Convolution and Pooling, and then present relevant information about Convolutional Neural Networks.
6 hours to complete
5 videos (Total 52 min), 2 readings, 2 quizzes
8 hours to complete
Week 3 - Recurrent Neural Networks (RNN)
Recurrent Neural Network have important building blocks. We'll explain those and give examples for healthcare applications.
8 hours to complete
5 videos (Total 41 min), 2 readings, 3 quizzes
2 hours to complete
Week 4 - Autoencoders
Learn why Autoencoders are indispensible in Machine Learning. We'll also show you how this is applied in healthcare.
2 hours to complete
4 videos (Total 36 min), 2 readings, 1 quiz
About the Deep Learning for Healthcare Specialization
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.
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