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
Deep Learning Methods for Healthcare
This course is part of Deep Learning for Healthcare Specialization
Instructor: Jimeng Sun
2,083 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
3.8
(13 reviews)
Advanced level
Recommended experience
Flexible schedule
Approx. 22 hours
Learn at your own pace
Prepare for a degree
Skills you'll gain
Details to know
Shareable certificate
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Assessments
4 assignments
Taught in English
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This course is part of the Deep Learning for Healthcare Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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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
Instructor
Offered by
Recommended if you're interested in Machine Learning
University of Illinois Urbana-Champaign
University of Illinois Urbana-Champaign
Google Cloud
Prepare for a degree
Taking this course by University of Illinois Urbana-Champaign may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
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