Deep Learning by Example on Biowulf - Class #3

About this Class

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 #3 will focus on Autoencoder networks, hyperparameter optimization and their application to reduction of dimensionality of cancer transcriptome. Expected knowledge: Basic Python, Basic Linux/Unix. 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.