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面向机器智能的TensorFlow实践 PDF

224 Pages·2017·111.3315 MB·other
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Preview 面向机器智能的TensorFlow实践

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本书共有4部分,分9章.第一部分对TensorFlow的历史脉络进行了简要的梳理,介绍在安装TensorFlow时应当考虑的因素,并给出了详细的TensorFlow安装指南;第二部分深入介绍TensorFlowAPI的基础知识;第三部分关注一种更为复杂的深度学习模型,首先对模型进行描述,然后介绍如何用可视化的数据流图表示所要创建的模型,以及如何利用TensorFlow有效地构建这些模型;最后一部分探讨TensorFlowAPI中新推出的特性,内容包括如何准备用于部署的模型,一些有用的编程模式,以及其他精选主题.
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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.