No
Confirm and Proceed
View More
View Less
Working...
Close
OK
Cancel
Confirm
System Message
Delete
Schedule
An unknown error has occurred and your request could not be completed. Please contact support.
Reserved - Scan in at least 10 minutes before the beginning of the session.
This has been added to your Planner. Please note: This is not a reserved seat.
Waitlisted - You may be assigned a reserved seat if one becomes available.

Please be sure to check the session schedule for any repeats of this session. In order to search for repeats of this session, please type the Session ID into the search bar at the top of the page.
Personal Calendar
 
Conference Event
Meeting
Interests
There aren't any available sessions at this time.
Conflict Found
This session is already scheduled at another time. Would you like to...
Loading...
Please enter a maximum of {0} characters.
{0} remaining of {1} character maximum.
Please enter a maximum of {0} words.
{0} remaining of {1} word maximum.
must be 50 characters or less.
must be 40 characters or less.
Session Summary
We were unable to load the map image.
This has not yet been assigned to a map.
Search Catalog
Reply
Replies ()
Search
New Post
Microblog
Microblog Thread
Post Reply
Post
Your session timed out.
Meeting Summary

AIM402-R1 - [REPEAT 1] Deep Learning Applications Using PyTorch, Featuring Facebook

Session Description

With support for PyTorch 1.0 on Amazon SageMaker, you now have a flexible deep learning framework combined with a fully managed machine learning platform to transition seamlessly from research prototyping to production deployment. In this session, learn how to develop with PyTorch 1.0 within Amazon SageMaker using a novel generative adversarial network (GAN) tutorial. Then, hear from Facebook on how you can use the FAIRSeq modeling toolkit, which serves 6B translations daily for Facebook users, to train your own custom PyTorch models on Amazon SageMaker. Facebook also discusses the evolution of PyTorch 1.0 and features introduced to accelerate research and deployment.

Session Speakers
Additional Information
Session
Artificial Intelligence & Machine Learning
400 - Expert
Please note that session information is subject to change.
Mirage
Session Schedule
    Media