University of Illinois Urbana-Champaign
Deep Learning Methods for Healthcare
University of Illinois Urbana-Champaign

Deep Learning Methods for Healthcare

Jimeng Sun

Instructor: Jimeng Sun

2,481 already enrolled

Included with Coursera Plus

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
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

Details to know

Shareable certificate

Add to your LinkedIn profile

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.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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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

Jimeng Sun
University of Illinois Urbana-Champaign
4 Courses9,121 learners

Offered by

Recommended if you're interested in Machine Learning

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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