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.