Using Mobile Devices for Deep Learning

A key avenue for deploying deep learning models is a mobile device. The advantage of running models in mobile apps instead of sending them to the cloud is the reduction in latency and the ability to ensure data privacy for users. Despite the variety of deep learning libraries and AI tools, successfully embedding a deep learning model into a mobile app can be challenging. Anirudh Koul, head of AI and research at Aira explained the step by step process for deploying convolutional neural networks (ConvNets) in applications for mobile devices during his lecture at ODSC West 2018. Anirudh explained the process necessary to deploy a ConvNet application given a few time frames.