TensorFlow 的研发团队很快就注意到了这一点，并在 TensorFlow 2.0 大版本更新中采用了许多 PyTorch 上最受欢迎的特性。 一个好的经验法则是用户可以在 TensorFlow 中做任何 PyTorch 能做的事情。

但 Python 并不是唯一的机器学习语言。 这可以说完全是个偶然，而这个偶然也促使很多 TensorFlow 开发者将关注集中在 Python 身上。

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.

The principal language for using TensorFlow is Python, although there is limited support for C++. The tutorials supplied with TensorFlow include applications for handwritten digit classification ...

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.

While it isn’t JavaScript, we did enjoy this Python TensorFlow tutorial. There’s also the very recent video from the TensorFlow Dev Summit, you can watch below.

At the start of May, I decided to get TensorFlow Developer Certified. So I set myself up with a curriculum to sharpen my skills and took the certification — turns out, I passed. Let me tell you ...

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.