Bookmark and Share

"Building Efficient CNN Models for Mobile and Embedded Applications," a Presentation from Facebook

Register or sign in to access the Embedded Vision Academy's free technical training content.

The training materials provided by the Embedded Vision Academy are offered free of charge to everyone. All we ask in return is that you register, and tell us a little about yourself so that we can understand a bit about our audience. As detailed in our Privacy Policy, we will not share your registration information, nor contact you, except with your consent.

Registration is free and takes less than one minute. Click here to register, and get full access to the Embedded Vision Academy's unique technical training content.

If you've already registered, click here to sign in.

See a sample of this page's content below:


Peter Vajda, Research Scientist at Facebook, presents the "Building Efficient CNN Models for Mobile and Embedded Applications" tutorial at the May 2018 Embedded Vision Summit.

Recent advances in efficient deep learning models have led to many potential applications in mobile and embedded devices. In this talk, Vajda discusses state-of-the-art model architectures, and introduces Facebook's work on real-time style transfer and pose estimation on mobile phones.