A Crash Course in Deep Learning for Techologists

Speaker:  Andrew Glassner – Seattle, WA, United States
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing

Abstract

Deep Learning refers to a collection of algorithms that are making significant impacts in almost every field that involves technology, from language translation and medical diagnosis to self-driving cars and feature film production. The topic is fast becoming an essential part of every citizen's intellectual toolkit for understanding influential technology.

In this talk we present a broad overview of the basic concepts behind deep learning for those who want to use these tools for themselves. We share both the core knowledge and the "folk wisdom" that are necessary to design, train, and deploy useful deep learning systems.

This presentation is accessible to anyone with an interest. There's no programming, and the only math is the occasional addition or multiplication. We focus on concepts and principles, not the mechanics of implementation. 

This talk covers a lot of ground, so attendees will learn lots of exciting new ideas.  The presentation is profusely illustrated, and delivered in an upbeat style.

When we're done, you'll understand the basic structure of popular deep learning models, how they work, how they can be efficiently trained, and how to harness these technologies for your own applications.

About this Lecture

Number of Slides:  561
Duration:  200 minutes
Languages Available:  English
Last Updated: 

Request this Lecture

To request this particular lecture, please complete this online form.

Request a Tour

To request a tour with this speaker, please complete this online form.

All requests will be sent to ACM headquarters for review.