No
Yes
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
You've been added as a Walk-up
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

MCL405 - Custom Image Recognition with Deep Learning Using Apache MXNet and Convolutional Neural Networks

Session Description

Convolutional Neural Networks (CNNs) are a category of deep learning algorithms. They were first brought to prominence in 2012 when Alex Krizhevsky used them to win that year’s ImageNet competition to find the best computer vision algorithms. Since then, they have emerged as one of the most influential innovations in computer vision, and have been used to identify objects like faces and traffic signs, in addition to powering vision in robots and self-driving cars. In this Chalk Talk, we explain how CNNs work and demonstrate how to train an image recognition model on your custom image repositories using Gluon, the new intuitive, dynamic programming interface for Apache MXNet.

Session Speakers
Additional Information
Aria
Chalk Talk
Machine Learning
Expert (400 level)
Please note that session information is subject to change.