Title:
An overview of deep learning frameworks and an introduction to PyTorch

dc.contributor.author Chintala, Soumith
dc.contributor.corporatename Georgia Institute of Technology. Machine Learning en_US
dc.contributor.corporatename Georgia Institute of Technology. College of Computing en_US
dc.contributor.corporatename Facebook AI Research (FAIR) en_US
dc.date.accessioned 2017-09-26T21:35:02Z
dc.date.available 2017-09-26T21:35:02Z
dc.date.issued 2017-09-06
dc.description Presented on September 6, 2017 at 12:30 p.m. in the Marcus Nanotechnology Building, room 1118. en_US
dc.description Soumith Chintala is a Researcher at Facebook AI Research, where he works on deep learning, reinforcement learning, generative image models, agents for video games and large-scale high-performance deep learning. With over 500 commits, Soumith is also one of the primary developers of the popular open-source PyTorch framework for deep learning. en_US
dc.description Runtime: 69:25 minutes en_US
dc.description.abstract In this talk, you will get an exposure to the various types of deep learning frameworks – declarative and imperative frameworks such as TensorFlow and PyTorch. After a broad overview of frameworks, you will be introduced to the PyTorch framework in more detail. We will discuss your perspective as a researcher and a user, formalizing the needs of research workflows (covering data pre-processing and loading, model building, etc.). Then, we shall see how the different features of PyTorch map to helping you with these workflows. en_US
dc.format.extent 69:25 minutes
dc.identifier.uri http://hdl.handle.net/1853/58786
dc.language.iso en_US en_US
dc.relation.ispartofseries Machine Learning @ Georgia Tech (ML@GT) Seminar Series
dc.subject Deep learning en_US
dc.subject Machine learning en_US
dc.subject PyTorch en_US
dc.title An overview of deep learning frameworks and an introduction to PyTorch en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.corporatename Machine Learning Center
local.contributor.corporatename College of Computing
local.relation.ispartofseries ML@GT Seminar Series
relation.isOrgUnitOfPublication 46450b94-7ae8-4849-a910-5ae38611c691
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isSeriesOfPublication 9fb2e77c-08ff-46d7-b903-747cf7406244
Files
Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
chintala.mp4
Size:
557.6 MB
Format:
MP4 Video file
Description:
Download video
No Thumbnail Available
Name:
chintala_videostream.html
Size:
985 B
Format:
Hypertext Markup Language
Description:
Streaming video
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
3.13 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections