Advanced Deep Learning Methods for Healthcare
About this course
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. The first phase of the course will include video lectures on different DL and health applications topics, self-guided labs and multiple homework assignments. In this phase, you will build up your knowledge and experience in developing practical deep learning models on healthcare data. The second phase of the course will be a large project that can lead to a technical report and functioning demo of the deep learning models for addressing some specific healthcare problems. We expect the best projects can potentially lead to scientific publications.
90/100
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- What the provider tells you
- 39/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
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What you'll learn
- understand advanced deep learning techniques
- apply deep learning to healthcare data
- develop practical deep learning models
- create a functioning demo of a healthcare solution
Course objectives
- to teach participants advanced deep learning methods
- to apply these methods in real-world healthcare scenarios
- to develop a capstone project leading to a technical report
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