Deep Learning Methods for Healthcare

University of Illinois Urbana-Champaign via Coursera

Go to Course: https://www.coursera.org/learn/deep-learning-methods-healthcare

Syllabus

Week 1 - Embedding

An overview of the course and everything about Embedding.

Week 2 - Convolutional Neural Networks (CNN)

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

Week 3 - Recurrent Neural Networks (RNN)

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

Week 4 - Autoencoders

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

Overview

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 practic

Skills

Reviews

I really satisfied with methodology of this course. and i am so excited for the completion of whole specialization. Thank you coursera, illinois team and Pro Jimen Sun for such wonderful opportunity