为了完整起见，下图还展示了与 TensorFlow 几乎同时发布的 Keras。 显然，Keras 近年来的表现不尽人意，简单来说是因为 Keras 有点简单，对于大多数深度学习从业者的需求来说太慢了。

TensorFlow + Keras深度学习方面的知识不需要具备高等数学模型、算法等专业知识，读者只需要具备基本的Python程序设计能力，按照本书的步骤循序渐进 ...

Keras Core 的第三个特点是与 JAX、PyTorch 和 TensorFlow 中的本地工作流无缝集成。与 Keras 1.0 不同，Keras Core 不只是针对以 Keras 为中心的工作流， 还意味 ...

To verify that Python, TensorFlow and Keras have been successfully installed, open a command shell and enter "python" to launch the Python interpreter. You'll see the ">>>" Python prompt.

Keras is a code library that provides a relatively easy-to-use Python language interface to the relatively difficult-to-use TensorFlow library. Installing Keras involves three main steps.

Google announced TensorFlow 2.0 is now available for public use. The alpha version of the deep learning library made its debut this spring.