Posted by Pete Warden, Software Engineer
When we started building TensorFlow, supporting mobile devices was a top
priority. We were already supporting many of Google’s mobile apps like
Translate, Maps, and the Google app, which use neural networks running on
devices. We knew that we had to make mobile a first-class part of open source
TensorFlow has been available to developers on Android since launch, and today
we're happy to add iOS in v0.9 of TensorFlow, along with Raspberry Pi support
and new compilation options.
To build TensorFlow on iOS we’ve created a set of scripts, including a makefile,
to drive the cross-compilation process. The makefile can also help you build
TensorFlow without using Bazel, which is not always available.
All this is in the latest TensorFlow
distribution. You can read more by visiting our Mobile TensorFlow guide and
the documentation in our iOS
samples and Android
sample. The mobile samples allow you to classify images using the ImageNet
Inception v1 classifier.
These mobile samples are just the beginning---we'd love your help and your
contributions. Tag social media posts with #tensorflow so we can hear about your
See the full TensorFlow 0.9.0 release notes here.