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 ...

Overview The right Python libraries can dramatically improve speed, efficiency, and maintainability in 2025 ...

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 ...

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

我应该使用 keras 软件包来训练自己的神经网络，还是在 TensorFlow 2.0 中使用 tf.keras 子模块？ 作为一个 Keras 用户，TensorFlow 2.0 有哪些值得关注的特性？

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.

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.

借助于高度集成的 Keras、默认的 Eager Execution（一种命令式编程环境，可立即评估操作，无需构建图）以及 Pythonic 功能执行，TensorFlow 2.0 使得 Python ...