Deep Learning Methods for Healthcare

Instructor: Jimeng Sun

Advanced Level • 2 weeks at 10 hours a week • Flexible Schedule

Skills You'll Gain

Health Informatics
Medical Imaging
Machine Learning
Deep Learning
Artificial Neural Networks
Jupyter
Tensorflow
PyTorch (Machine Learning Library)
Feature Engineering
Image Analysis
Computer Vision
Python Programming
Dimensionality Reduction
Applied Machine Learning
Keras (Neural Network Library)

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

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

There are 4 modules in this course

An overview of the course and everything about Embedding.

We discuss the importance of Convolution and Pooling, and then present relevant information about Convolutional Neural Networks.

Recurrent Neural Network have important building blocks. We'll explain those and give examples for healthcare applications.

Learn why Autoencoders are indispensible in Machine Learning. We'll also show you how this is applied in healthcare.