Google gives everyone machine learning superpowers with TensorFlow 1.0

Google gives everyone machine learning superpowers with TensorFlow 1․0

  • That began to change with the release of a number of open-source machine learning frameworks like Theano, Spark ML, Microsoft’s CNTK, and Google’s TensorFlow.
  • Among them, TensorFlow stands out for its powerful, yet accessible, functionality, coupled with the stunning growth of its user base.
  • With this week’s release of TensorFlow 1.0, Google has pushed the frontiers of machine learning further in a number of directions.
  • In an effort to make TensorFlow a more-general machine learning framework, Google has added both built-in Estimator functionality, and support for a number of more traditional machine learning algorithms including K-means, SVM (Support Vector Machines), and Random Forest.
  • While there are certainly other frameworks like SparkML that support those tools, having a solution that can combine them with neural networks makes TensorFlow a great option for hybrid problems.

Google gives everyone machine learning superpowers with TensorFlow 1.0
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