
11/8/2016 · Peter Vajda, Yangqing Jia
What this post added
This post details the development and deployment of Caffe2Go, a lightweight deep learning framework for mobile devices, enabling real-time AI inference. It describes optimizations for model size and quality for style transfer, including reducing convolutional layers, adjusting spatial resolution, and using instance normalization. The post also highlights the modular design of Caffe2Go, its integration with platform-specific optimizations like NNPack and Metal, and its developer-friendly deployment process.