In a post on its Research Blog, Google today announced that it is making some significant improvements to TensorFlow. For those unfamiliar, TensorFlow is the company’s open source machine learning ...

Besides putting a Raspberry Pi to work on a mini Mars rover, it's now going to be a lot easier to use Google's TensorFlow artificial-intelligence framework with the low-powered computer. Developers ...

TensorFlow is an open source software library developed by Google for numerical computation with data flow graphs. This TensorFlow guide covers why the library matters, how to use it and more.

The next version of Google's TensorFlow neural network software will run on iPhones and iPads, bringing a new type of computing smarts to mobile devices. Stephen Shankland worked at CNET from 1998 to ...

Developers were pretty psyched by the announcement at Google I/O back in May that a new version of TensorFlow was being built from the ground up for mobile devices. Today, Google has released a ...

University of Waterloo students have teamed up with Google to develop software to accelerate machine learning using quantum science. The collaborative effort resulted in the creation of an open-source ...

Early in 2015, artificial-intelligence researchers at Google created an obscure piece of software called ­TensorFlow. Two years later the tool, which is used in building machine-­learning software, ...

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While you can train simple neural networks with relatively small amounts of training data with TensorFlow, for deep neural networks with large training datasets you really need to use CUDA-capable ...

Google LLC today introduced several major improvements to TensorFlow that significantly extend the machine learning development framework’s capabilities. The first pair of enhancements aim to grow the ...