Amazon makes it easy to bring MXNet models to Apple's Core ML

With the release of Core ML by Apple at WWDC 2017, iOS, macOS, watchOS and tvOS developers can now easily integrate a machine learning model into their app. This enables developers to bring intelligent new features to users with just a few lines of code. Core ML makes machine learning more accessible to mobile developers. It also enables rapid prototyping and the use of different sensors (like the camera, GPS, etc.) to create more powerful apps than ever.Members of the MXNet community, including contributors from Apple and Amazon Web Services (AWS), have collaborated to produce a tool that converts machine learning models built using MXNet to Core ML format. This tool makes it easy for developers to build apps powered by machine learning for Apple devices. With this conversion tool, you now have a fast pipeline for your deep-learning-enabled applications. You can move from scalable and efficient distributed model training in the AWS Cloud using MXNet to fast run time inference on Apple devices.