Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.

The TensorFlow.js Node.js environment supports using an installed build of Python/C TensorFlow as a back end, which may in turn use the machine’s available hardware acceleration, for example CUDA.

Our data science doctor provides a hands-on neural networking tutorial to explain how to get started with the popular Keras library, a high-level wrapper over TensorFlow.

Google's TensorFlow Lite model maker tool adapts state-of-the-art machine learning models for on-device applications, chiefly NLP and computer vision.

Google today is announcing the release of version 0.8 of its TensorFlow open-source machine learning software. The release is significant because it supports the ability to train machine learning ...

The deep learning framework PyTorch has infiltrated the enterprise thanks to its relative ease of use. Three companies tell us why they chose PyTorch over Google’s renowned TensorFlow framework.

Google has open-sourced a model for its machine-learning system, called Show and Tell, which can view an image and generate accurate and original captions. The model it's released is faster to ...

Google LLC today announced a new tool called TensorFlow Lite Model Maker, which uses a technique known as transfer learning to adapt machine learning models to custom data sets. TensorFlow Lite is ...

The compiler is now being decoupled from TensorFlow, and OpenXLA will work to build StableHLO, a portable ML compute operation set which acts as a portability layer between machine-learning frameworks ...