Independent AI architect Siddha Ganju presents the “Deep Learning on Mobile Devices” tutorial at the September 2020 Embedded Vision Summit.
Over the last few years, convolutional neural networks (CNNs) have grown enormously in popularity, especially for computer vision. Many applications running on smartphones and wearable devices could benefit from the capabilities of CNNs. However, CNN’s are by nature computation- and memory-intensive, making them challenging to deploy on a mobile device.
In this presentation, Ganju shares easy-to-use, practical techniques that can improve CNN performance on mobile devices.
See here for a PDF of the slides.