TensorFlow is an open-source framework developed by Google scientists and engineers for numerical computing. In this article, the author explains how to use Tensorflow.NET to build a neural network.

Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph structured data using TensorFlow, its machine learning framework.

While TensorFlow won't give your iPhone an immediate IQ boost, its neural network capabilities will lead to more sophisticated apps later. Expect to see them coming from Google and others who use ...

Google open-sources ‘TensorFlow’ machine learning system, offering its neural network to outside developers by James Risley on November 9, 2015 at 10:15 am Share Reddit ...

Pete Warden, Technical Lead of TensorFlow at Google commented: "CEVA has been at the forefront of machine learning and neural networks inferencing for embedded systems and understands that the ...

Continue reading “Neural Network Knows When Cat Wants To Go Outside”→ Posted in home hacks Tagged neural network, neural networks, raspberry pi, tensor flow, tensorflow ...

Dave Burke, VP of engineering at Google, announced a new version of Tensorflow optimised for mobile phones. This new library, called Tensorflow Lite, would enable developers to run their artif ...