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TensorFlow 1.0 unlocks machine learning on smartphones

TensorFlow 1.0 unlocks machine learning on smartphones | #MachineLearning #Phyton #RT

  • Version 1.0 not only brings improvements to the framework’s gallery of machine learning functions, but also eases TensorFlow development to Python and Java users and improves debugging.
  • A new compiler that optimizes TensorFlow computations opens the door to a new class of machine learning apps that can run on smartphone-grade hardware.
  • Another slice of Py, Java on the side – – Since Python’s one of the biggest platforms for building and working with machine learning applications, it’s only fitting that TensorFlow 1.0 focuses on improving Python interactions.
  • Java is another major language platform for machine learning, but TensorFlow previously did not have a set of Java bindings.
  • This is a big deal in light of IBM adding TensorFlow support to its PowerAI hardware solution for machine learning, powered by a mix of GPUs and Power8 CPUs.

The first major release of Google’s machine learning library includes improvements to allow efficient deep learning on mobile devices

TensorFlow, Google’s open source deep learning framework, has announced a release candidate for a full-blown version 1.0.

Version 1.0 not only brings improvements to the framework’s gallery of machine learning functions, but also eases TensorFlow development to Python and Java users and improves debugging. A new compiler that optimizes TensorFlow computations opens the door to a new class of machine learning apps that can run on smartphone-grade hardware.

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Another slice of Py, Java on the side

Since Python’s one of the biggest platforms for building and working with machine learning applications, it’s only fitting that TensorFlow 1.0 focuses on improving Python interactions. The TensorFlow Python API has been upgraded so that the syntax and metaphors TensorFlow uses are a better match for Python’s own, offering better consistency between the two.

The bad news is those changes are guaranteed to break existing Python applications. TensorFlow’s developers have released a script to automatically upgrade old-style TensorFlow API scripts to the new format, but the script can’t fix everything; you may still need to tweak scripts manually as needed.

TensorFlow 1.0 unlocks machine learning on smartphones

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