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Deep Learning for Healthcare

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Neural Networks in the Field of Applied Medicine. Discover the most advanced techniques in Deep Learning for Medical Applications.

Key AI Functions:Big Data,Machine Learning,Deep Learning,Health Care

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Description for Deep Learning for Healthcare

Features of Course

Utilize actual medical data to conduct hands-on projects with autograded assignments in PyTorch and Jupyter Notebooks.

Include a variety of neural network types that are specifically designed for medicinal applications, such as RNNs and CNNs.

Teach health data analysis techniques that are specific to medical datasets, with a concentration on feature engineering and preprocessing.

Conduct practical training on the deployment of neural networks in real-world medical scenarios, with a focus on ethical and regulatory considerations.

Level: Advanced

Certification Degree: Yes

Languages the Course is Available: 21

Offered by: On Coursera provided by University of Illinois at Urbana-Champaign

Duration: 2 months at 10 hours a week

Schedule: Flexible

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