Google Developers Blog: Announcing TensorFlow 1.0

Announcing TensorFlow 1.0

Wednesday, February 15, 2017

Posted By: Amy McDonald Sandjideh, Technical Program Manager, TensorFlow first yearlanguage translationearly detection of skin cancerpreventing blindness in diabetics6000 open-source repositories onlineTensorFlow Developer Summitlivestreamed around the worldTensorFlow 1.0It's faster: XLAtensorflow.orgtips & tricksIt's more flexible:KerasIt's more production-ready than ever:hereTensorFlow 1.0

Python APIs have been changed to resemble NumPy more closely. For this and other backwards-incompatible changes made to support API stability going forward, please use our handy migration guide and conversion script.

Experimental APIs for Java and Go

Higher-level API modules tf.layers, tf.metrics, and tf.losses - brought over from tf.contrib.learn after incorporating skflow and TF Slim

Experimental release of XLA, a domain-specific compiler for TensorFlow graphs, that targets CPUs and GPUs. XLA is rapidly evolving - expect to see more progress in upcoming releases.

Introduction of the TensorFlow Debugger (tfdbg), a command-line interface and API for debugging live TensorFlow programs.

New Android demos for object detection and localization, and camera-based image stylization.

Installation improvements: Python 3 docker images have been added, and TensorFlow's pip packages are now PyPI compliant. This means TensorFlow can now be installed with a simple invocation of pip install tensorflow.

We're thrilled to see the pace of development in the TensorFlow community around the world. To hear more about TensorFlow 1.0 and how it's being used, you can watch the TensorFlow Developer Summit talks on YouTube, covering recent updates from higher-level APIs to TensorFlow on mobile to our new XLA compiler, as well as the exciting ways that TensorFlow is being used:

hereFoldEmbedding Projectorupdatesto our existing tools like TensorFlow ServingGitHub issuesStack Overflow@TensorFlowdiscuss@tensorflow.org

Announcing TensorFlow 1.0

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