Prior versions of the image captioning model took three seconds per training step on an Nvidia G20 GPU, but the version open sourced today can do the same task in a quarter of that time, or just 0 ...

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.

The image-captioning system is available for use with TensorFlow, Google's open machine-learning framework, and boasts a 93.9 percent accuracy rate on the ImageNet classification task, inching up ...

Model Maker, which currently only supports image and text classification use cases, works with many of the models in TensorFlow Hub, Google’s library for reusable machine learning modules.

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...

Today, Google followed up the first Voice Kit with a new Vision Kit for image recognition and TensorFlow development. These AIY Kits are crude speakers — and now cameras — housed in simple ...