随着 TensorFlow 2.0 的发布，不少开发者产生了一些疑惑：作为 Keras 用户，TensorFlow 2.0 的发布跟我有关系吗？TensorFlow 中的 tf.keras 和 Keras 有什么区别 ...

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 ...

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 ...

以后，Keras 适用的框架只会越来越多。 Keras 出新库了，这次是 Keras Core，我们可以将其理解为 Keras 3.0 预览版，预计今年秋天正式发布。 总结而言 ...

os.environ['TF_CPP_MIN_LOG_LEVEL']='2' Because Keras and TensorFlow are being developed so quickly, you should include a comment that indicates what versions were being used. Notice you must import ...

TensorFlow 2.0 comes with a number of changes made in an attempt to improve ease of use, such as the elimination of some APIs thought to be redundant and a tight integration and reliance on tf ...

For my demo, I installed the Anaconda3 4.1.1 distribution (which contains Python 3.5.2), TensorFlow 1.7.0, and Keras 2.1.5. The Demo Program The structure of demo program, with a few minor edits to ...