高效且友好的 TensorFlow GNN 库。 今天，TensorFlow 官方博客发布了 TensorFlow Graph Neural Networks（TensorFlow GNN）库 ，这个库使得用户在使用 TensorFlow 时能够轻松处理图结构数据。 此前，TensorFlow GNN 的早期版本已经在谷歌的各种应用中使用，包括垃圾邮件和异常检测 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Let the OSS Enterprise newsletter guide your open source journey! Sign up ...

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 ...

导语：这是Wolfgang Beyer一篇博文。详细介绍了如何使用TensorFlow搭建一个简单的图像识别系统。本篇将手把手地讲解搭建图像识别系统的全过程。 雷锋网按：此系列文章主要介绍了不具备机器学习基础的用户如何尝试从零开始在TensorFlow上搭建一个图像识别系统。

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.

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

Among the innovations that power the popular open source TensorFlow machine learning platform are automatic differentiation (Autograd) and the XLA (Accelerated Linear Algebra) optimizing compiler for ...