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Google Research opens source for ‘TensorFlow’

  • Google has open sourced TensorFlow, a key algorithm that helps it
    with voice recognition, image search with Google Photos and several projects in
    automated image captioning, reported
    FirstPost.
  •  
  • According to a post in its official blog, Jeff Dean, Senior Google
    Fellow, and Rajat Monga, Technical Lead at Google Research, said, “We’re proud

    • Google has open sourced TensorFlow, a key algorithm that helps it
      with voice recognition, image search with Google Photos and several projects in
      automated image captioning, reported
      FirstPost.
    •  
    • According to a post in its official blog, Jeff Dean, Senior Google
      Fellow, and Rajat Monga, Technical Lead at Google Research, said, “We’re proud
      to announce the open source release of TensorFlow – our second-generation
      machine learning system, specifically designed to correct these shortcomings.”
    •  
    • TensorFlow is general, flexible, portable, easy-to-use, and
      completely open source, the company said.
    •  
    • The blogpost said that this move was undertaken while improving upon
      the speed of Google’s DistBelief and its scalability and production readiness.
      The post added that according to some benchmarks, TensorFlow is twice as fast
      as DistBelief.
    •  
    • A neural network allows the Google Photos app to learn the
      relationship between an object’s name and its appearance. Similarly, another
      neural network allows the Google Translate app to learn how words are commonly
      used in conversation, so it can provide less-stilted renderings.
    •  
    • The Google Research blog post said TensorFlow is ready for use in
      real products, too. It said TensorFlow was built to be fast, portable, and
      ready for production service, and can help move an idea seamlessly from
      training to desktop GPU, and even running it on mobile phones.
    •  
    • “TensorFlow also lets you get started quickly with powerful machine
      learning tech by using Google’s example model architectures,” the blogpost
      said.

     

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