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Google's open source framework for machine learning and neural networks is fast and flexible, rich in models, and easy to run on CPUs or GPUs What makes Google Google? Arguably it is machine ...

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 ...

There is no real middle ground when it comes to TensorFlow use cases. Most implementations take place either in a single node or at the drastic Google-scale, with few scalability stories in between.

Developers of deep learning, machine learning and other artificial intelligence are increasingly adopting the TensorFlow framework. Though TensorFlow is not an official Apache project, it was ...

Google last week open sourced TensorFlow, a new machine learning library used in deep learning projects. Even though the Web giant has just started using the software in its products, it apparently ...

At Google’s first ever TensorFlow Developer Summit, the company announced it has updated its machine learning software to version 1.0. This update contains three key improvements: performance, ...

Intel has just announced that its new Data Center GPU Flex Series cards have been added to their family of PluggableDevices, something that is called Intel Extension for TensorFlow. Intel Extension ...