在 AI 技术兴起后，深度学习框架 PyTorch 和 TensorFlow 两大阵营似乎也爆发了类似的「战争」。这两个阵营背后都有大量的支持者，并且他们都有充足的 ...

另一方面，PyTorch 极度以 Python 为中心 —— 这就是为什么它给人的感觉如此 Python 化。 即使它有一个 C++ API，但它对其他语言的支持程度还不及 TensorFlow 的一半。 可以想象，PyTorch 将在 Python 中取代 TensorFlow。

作者 | AriAri Joury译者 | 核子可乐策划 | 刘燕曾经与 PyTorch 并驾齐驱，TensorFlow 如今怎么就不行了？科技领域的派系之争从未休止，各种各样的操作 ...

Deep-learning research, which can be useful for some predictive modelling work, is made possible in Python through libraries such as “Keras”, “PyTorch” and “TensorFlow”.

TensorFlow is complete enough for Google employees to use it, but it’s not anywhere near a complete product. The TensorFlow website says that while the framework sports an easy to use Python interface ...

Still not sure why TensorFlow is everywhere? Learn what makes it a top choice for AI projects. #TensorFlow #AIFramework #DeepLearning #TensorFlow #MachineLearning #DeepLearning #AI # ...

But mobile app development is one of the key growth fields that Python hasn't gained any traction in, despite it dominating in machine learning with libraries like NumPy and Google's TensorFlow ...

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.

For a layman, TensorFlow can be considered as a system that takes heterogeneous data (as input) and subject it to mathematical computation to produce an output, i.e., a set of software libraries.