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 ...

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.

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.

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 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 ...

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 ...

Google-led project that integrates Google’s TensorFlow machine learning library with Swift, the modern general purpose language created by Apple. The use of Swift enables more powerful ...

Graph from StackOverflow trends. StackOverflow traffic for TensorFlow might not be declining ... Size is king, however, when it comes to machine learning; the larger the model the more impressive ...

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 ...

Learn More Google today announced the launch of TensorFlow Quantum, bringing together machine learning and quantum computing initiatives at the company. The framework can construct quantum ...