Deep Learning Basics
In this session, you'll see how deep learning works. We'll cover the basics, discussing concepts and techniques that are common to many types of deep learning. Although math is inherent in how deep learning works, Joe will explain enough to where you don't have to be an expert in calculus, linear algebra, or statistics. You'll see that this technology doesn't require a Ph.D. for any developer who wants to learn and take advantage of AI. By the end of the presentation, you will have seen a full example of how deep learning works, design and considerations, and practical applications.
Track
Artifical Intelligence (AI)
About the session
The session is approved.
The presenter will not allow another presenter.
There are 173 people interested in this session.
Scheduled
- Room
- AGA-1240
- Time
- 8:30 AM - 9:30 AM
- Calendar File
- Download
Edit Session