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 Methods for Healthcare
This course is part of Deep Learning for Healthcare Specialization

Instructor: Jimeng Sun
Access provided by New York State Department of Labor
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There are 4 modules in this course
An overview of the course and everything about Embedding.
What's included
5 videos3 readings1 assignment1 programming assignment1 discussion prompt
We discuss the importance of Convolution and Pooling, and then present relevant information about Convolutional Neural Networks.
What's included
5 videos2 readings1 assignment1 programming assignment
Recurrent Neural Network have important building blocks. We'll explain those and give examples for healthcare applications.
What's included
5 videos2 readings1 assignment2 programming assignments
Learn why Autoencoders are indispensible in Machine Learning. We'll also show you how this is applied in healthcare.
What's included
4 videos2 readings1 assignment
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Reviewed on Mar 30, 2023
I really satisfied with methodology of this course. and i am so excited for the completion of whole specialization. Thank you coursera, illinois team and Pro Jimen Sun for such wonderful opportunity
Reviewed on Jun 8, 2025
harsh, but with 2 years of experience i could do it fast
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