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.

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 ...

The tutorial that the TensorFlow authors offer for beginners goes step-by-step through some simple TensorFlow models. Among other things it teaches you about the high-level tf.estimator API for ...

Much of the information in my TensorFlow r0.10 review and my November 2016 TensorFlow tutorial is still relevant. In this review I will concentrate on the current state of TensorFlow as of January ...

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 ...

TensorFlow has become the most popular tool and framework for machine learning in a short span of time. It enjoys tremendous popularity among ML engineers and developers.