Delivering real-time AI in the palm of your hand

This post details the development and deployment of Caffe2Go, a lightweight, modular deep learning framework designed for real-time AI inference on mobile devices (iOS and Android). It describes optimizations for model size and quality for style transfer, including reducing convolution layers, adjusting layer width, and spatial resolution. The framework's cross-platform compatibility (server CPU, GPU, iOS, Android) and developer-friendly deployment process are highlighted. Performance improvements of 100x in model size and inference times of <50ms on mobile phones are achieved.