The aim of this page is to point to various useful materials to assist in training in the fields of machine learning and deep learning.
Documentation by Madeleine Birdsell and Catherine Warnement as interns with the High Performance Computing Team (Frederick National Lab) in summer 2018.
Contact: George Zaki
Source code and detailed documentation for various workflows in machine and deep learning can be found at GitHub. This is a new collection that will be growing in the coming weeks.
Higher-level walk-throughs of the scripts and their utility will be uploaded to NIH.AI as well.
Contact: Andrew Weisman
Deep Learning at the NIH FAES (BIOF 399)
Abstract:
In this course, students will learn how to apply Convolutional Neural Networks (CNNs) to medical images to perform a variety of medical tasks and calculations. Upon completion of this course, students will be able to apply CNNs to medical images to conduct a variety of medical tasks.
Learning objectives:
Contact: Hoo Chang Shin