Deep Learning Methods for Healthcare

Advanced Level

2 weeks at 10 hours a week

Flexible Schedule

Jimeng Sun

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)

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Develop Your Specialized Knowledge

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.

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.

Deep Learning Methods for Healthcare

Skills You’ll Gain

Shareable Certificate

Develop Your Specialized Knowledge

There are 4 modules in this course

Module 1: Week 1 - Embedding 5 hours to complete

Module 2: Week 2 - Convolutional Neural Networks (CNN) 5 hours to complete

Module 3: Week 3 - Recurrent Neural Networks (RNN) 8 hours to complete

Module 4: Week 4 - Autoencoders 2 hours to complete