Machine learning is a complex discipline but ... developers who need to debug and gain introspection into TensorFlow apps. Each graph operation can be evaluated and modified separately and ...

Machine learning isn’t something you buy but something you do. Use TensorFlow to experiment now with machine learning so you can build it into your DNA Machine learning is still a pipe dream for ...

TensorFlow’s graph-based structure can complicate debugging ... platform for deploying production models. In the realm of machine learning frameworks, there’s no one-size-fits-all solution.

Now, that machine learning system is going open ... applications with less setup time required. TensorFlow lets users compute by creating flow graphs, and uses the same set of tools for both ...

TensorFlow is machine learning software used in well-known applications such as Google Photos and Google Translate, as well as Smart Reply in Inbox and the speech recognition in the main Google app.

Now there are more traditional machine learning tools ... And there’s now a experimental TensorFlow compiler (XLA) to just-in-time (JIT) compile a graph down to assembly language that fits ...

Google today announced the launch of version 0.8 of TensorFlow, its open source library for doing the hard computation work that makes machine learning possible. Normally, a small point update ...

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 ...

Google on Monday outlined plans to open source its machine learning system. The system, called TensorFlow, is used in Google applications such as Google Photos and Google Translate as well as ...

TensorFlow Lite, which will be part of the TensorFlow open source project, will let developers use machine learning for their mobile apps. The news was announced today at I/O by Dave Burke ...