[Skip to Content]
Visit us on Facebook Visit us on FacebookVisit us on Twitter Visit us on TwitterVisit our RSS Feed View our RSS Feed
Region 7 Update April 19th, 2024
CategoriesCategoriesCategories Contact UsContact Us ArchivesArchives Region/OfficeRegion SearchSearch

Aug

30

Date prong graphic

NIH Data Science Training Opportunity: Deep Learning

Posted by on August 30th, 2016 Posted in: Announcements


Data Science Training Opportunity in Deep Learning from the Office of the Associate Director for Data Science (ADDS).

On September 8, there will be an hour-long overview of deep learning followed by a half hour for questions.

Title: Overview of Deep Learning in Healthcare
Date: Sept 8, 3:00 pm – 4:30 pm ET
Location: Via webcast http://videocast.nih.gov

Open to all!
No registration required

Recent advances in Deep Learning (DL) provide an analysis framework that can be used to automatically classify images and objects with  (and occasionally exceeding) human-level accuracy.  A key advantage of Deep Learning is its ability to perform unsupervised feature extraction over massive data sets making big data part of the solution — not the problem.  Deep Learning is rapidly becoming a key tool at many of the top technology companies around the world.

The talk will introduce DL in the broader context of machine learning and discuss critical factors driving the success of DL with examples of how deep learning is advancing healthcare.  We will also outline development and deployment workflows for building powerful DL solutions and provide an overview of relevant open source tool kits, companies, and products.  We will wrap up with a short demo of NVIDIA’s DIGITS training system for rapidly prototyping your own deep learning applications.

Image of the author ABOUT NNLM Region 7
Network National of Libraries of Medicine, Region 7

Email author View all posts by

NNLM Region 7
University of Massachusetts Chan Medical School
55 Lake Avenue North
Worcester, MA 01655
(508) 856-5985

This has been funded in whole or in part with Federal funds from the Department of Health and Human Services, National Institutes of Health, National Library of Medicine, under cooperative agreement number UG4LM012347 with the University of Massachusetts Chan Medical School.

NNLM and NETWORK OF THE NATIONAL LIBRARY OF MEDICINE are service marks of the US Department of Health and Human Services | Copyright | HHS Vulnerability Disclosure | Download PDF Reader