Seminars

ML@GT Distinguished Seminar by Pedro Domingo (UW) on “Sum-Product Networks: The Next Generation of Deep Models” 4/19/2017 @ 12n EBB

Title: “Sum-Product Networks: The Next Generation of Deep Models” Speaker: Pedro Domingo (University of Washington) Date/Time: April 19, 2017, @ 12n (lunch served at 11:30am) Location: Engineered Biosystems Building (EBB), CHOA Room Abstract: The two main types of deep learning are function approximation and probability estimation. Function approximators like convolutional neural networks are robust and allow for real-time inference,… Continue reading ML@GT Distinguished Seminar by Pedro Domingo (UW) on “Sum-Product Networks: The Next Generation of Deep Models” 4/19/2017 @ 12n EBB

Events

NVIDIA and GT GPU Deep Learning Symposium, April 18

NVIDIA and GT GPU Deep Learning Symposium, April 18Thanks to support from NVIDIA, we are hosting a deep learning symposium focused on the use of GPUs on April 18th, 10-3 in the Bill Moore Student Success Center. NVIDIA will be presenting some of its recent work with respect to deep learning as well as resources… Continue reading NVIDIA and GT GPU Deep Learning Symposium, April 18

Seminars

ECE Seminar: Greg Diamos (Baidu) on “Challenges and Opportunities in Deep Learning”

School of Electrical and Computer Engineering Seminar  Title. Challenges and Opportunities in Deep Learning Speaker: Greg Diamos (Baidu’s Silicon Valley AI Lab (SVAIL)) Date/Time/Location: Thursday, February 23rd from 11:00 – 12:00 PM in Van Leer C341 Abstract: Just this year, deep learning has fueled significant progress in computer vision, speech recognition, and natural language processing. We have… Continue reading ECE Seminar: Greg Diamos (Baidu) on “Challenges and Opportunities in Deep Learning”