TensorFlow 开发团队很快意识到了这个问题，并在 TensorFlow 2.0 中引入了 PyTorch 那边不少广受欢迎的设计。

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use If you looked at TensorFlow as a deep learning framework ...

Google enhances TensorFlow with deep learning capabilities and parallelism techniques for developer choice in machine language tooling.

TensorFlow 1.0 not only brings improvements to the framework’s gallery of machine learning functions, but also eases TensorFlow development to Python and Java users and improves debugging.

We hear from Wunderman Thompson’s Cole Peterson about how the agency has come to utilize Google’s open-source TensorFlow software – and about its limitations.

Google has released TensorFlow Serving to the open-source community, a fresh addition to computer learning software for large-scale modeling projects.

TensorFlow is an open-source software library that was released in 2015 by Google to make it easier for developers to design, build and train deep learning models.

TensorFlow is the most popular machine learning framework on Github Along with the release of TensorFlow 0.8, Google highlights how enthusiastic the public reaction to its software has been.

Today IBM announced that its PowerAI distribution for popular open source Machine Learning and Deep Learning frameworks on the POWER8 architecture now supports the TensorFlow 0.12 framework that was ...

Google's TensorFlow team released TensorFlow Lattice today to help developers ensure that their machine learning models adhere to global trends even when training data is noisy. Lattice draws from ...