617-384-9091
iacs-info@seas.harvard.edu
Friday, January 15, 2016
1:00 - 4:30pm
Presenter: Jonathan Bentz, NVIDIA
Facilitator: Barton Fiske, NVIDIA
Deep learning is a rapidly growing segment born from the fields of artificial intelligence and machine learning. It is increasingly used to deliver near-human level accuracy for image classification, voice recognition, natural language processing, sentiment analysis, recommendation engines, and more. Applications areas include facial recognition, scene detection, advanced medical and pharmaceutical research, and autonomous, self-driving vehicles. NVIDIA GPUs are the world’s fastest and most efficient accelerators delivering world record scientific application performance. NVIDIA CUDA is the most pervasive parallel computing model, used by over 250 scientific applications and over 150,000 developers worldwide.
This half day programming workshop will focus on introducing attendees to the use of GPU accelerated deep learning frameworks utilizing NVIDIA GPUs for ideal performance and scalability.
Suggested pre-requisites:
*Laptop with wireless access
*Basic web based user interface familiarity
*Knowledge of machine learning and/or deep learning use cases (image/speech/text recognition - object detection)