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Course Description

This course builds on fundamental machine learning algorithms such as Support Vector Machines, Random Forests, and Logistic Regression, which were introduced in our previous modules as well as the technical course on Python. We now delve deeper into neural networks, exploring their critical role in AI in medicine and how they can be used to analyze medical images for instance. This course will guide you through the basic structure of neural networks, and the various steps needed to build a convolutional neural network. We will also cover more advanced topics like the challenges of training deep networks, the importance of matrices and tensors, and how these mathematical constructs form the building blocks of deep learning algorithms. Join us as we navigate the intricacies of AI in medicine and unlock the potential of these powerful models.

 

Log in instructions: 

Once you register for the course, you will be automatically added to Canvas. Please follow these instructions to log in:

1. Follow this link: https://elearning.ufl.edu/ 

2. Click the blue "log in to continuing education" button

3. Log in with the same account you used to register.

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Enroll Now - Select a section to enroll in
Section Title
Artificial Intelligence in Medicine: Deep Learning
Type
self-paced
Dates
Start Now, you have 180 days to complete this course once enrolled.
Course Fee(s)
Registration fee non-credit $200.00
Drop Request Deadline
TBD
Transfer Request Deadline
TBD
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