对于这一更新，网友还是很期待的，有人表示：「TensorFlow 2.10 增加了 64 位 Arm 支持，现在可以在 Arm 硬件上使用 pip install TensorFlow 进行安装了。

对 TensorFlow 调试经验的改进：以前，TensorFlow 错误堆栈跟踪涉及许多内部帧，读出这些帧可能具有挑战性，而且对最终用户而言不可操作。从 TF 2.7 ...

TensorFlow 2.8 引入了一个 API 来使 op 具有确定性，TensorFlow 2.9 在某些情况下提高了确定性性能。 如果你希望 TensorFlow 模型确定性地运行，只需将以下 ...

The tutorial that the TensorFlow authors offer for beginners goes step-by-step through some simple TensorFlow models. Among other things it teaches you about the high-level tf.estimator API for ...

At the 2019 TensorFlow Dev Summit today, Google announced a number of updates for its open-source machine learning library aimed at research and production. The TensorFlow 2.0 alpha provides a ...

If you are adept at Python and remember your high school algebra, you might enjoy [Oliver Holloway’s] tutorial on getting started with Tensorflow in Python.

TensorFlow 2.0 fires up AI models much faster than previous versions, which lets engineers try out different model variations with shorter delays between test runs.

Explaining how to get up to speed with your TensorFlow Lite kit. Check out the 10 minute tutorial video below or jump over to the official Adafruit online resource centre for more details.

This is new: TensorFlow 2.18 integrates the current version 2.0 of NumPy and, with Hermetic CUDA, will no longer require local CUDA libraries during the build.