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 ...

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 ...

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.

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

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. [Oliver] gives links on how to do the ...

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use If you looked at TensorFlow as a deep learning framework ...