This introductory course teaches the basics of deep learning and of different types of deep learning networks through a set of hands-on biological examples implemented in Keras, one example per class:

Class #4 will focus on Generative Adversarial Networks and their application to bioimage synthesis.

Expected knowledge: Basic Python, Basic Linux/Unix, some Math.

This class is part of a series, but each class is stand-alone. The class will be webcast and recorded. Handouts will be made available one day prior to the class.

Instructor: Gennady Denisov (NIH HPC staff)

The class is free but registration is required.