Now more platform than toolkit, TensorFlow has made strides in everything from ease of use to distributed training and deployment The importance of machine learning and deep learning is no longer in ...

In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

How to build a simple machine learning pipeline that allows you to stream and classify simultaneously, while also supporting SQL queries TensorFlow has emerged as one of the leading machine learning ...

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Google is announcing TensorFlow, its open ­source platform for machine learning, giving anyone a computer and internet connection (and casual background in deep learning algorithms) access to one of ...

It wasn't that long ago that building and training neural networks was strictly for seasoned computer scientists and grad students. That began to change with the release of a number of open-source ...

You’ve likely used products shaped by Google’s machine learning system. The neural network has helped Google understand the subject in each Google Photos upload and what you’re saying when you talk to ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More At Google’s inaugural TensorFlow Dev Summit in Mountain View, California, ...

With TensorFlow, researchers can "try out their crazy ideas" with software that's also being used at Google. That's no longer the case, though, thanks in part to TensorFlow, a new machine-learning ...