《TensorFlow Machine Learning Cookbook》--1.0

最新推荐文章于 2025-06-12 20:48:15 发布
原创 最新推荐文章于 2025-06-12 20:48:15 发布 · 1.3k 阅读 · 0 ·
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本文将带你从零开始了解TensorFlow的基础知识，包括变量、张量、占位符等概念，并介绍如何实现激活函数及使用数据源等内容。通过本书的学习，你将能够掌握使用TensorFlow进行机器学习的基本技能。

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最近想了解一下机器学习,在网上查了查资料,看到TensorFlow很流行,关于它的资料也比较多,就想从TensorFlow入手.

机器学习是歪果仁先研究起来,慢慢传播到我们天朝的,所以我想还是先找一些老外搞的资料吧.在亚马逊上查查看,倒是有几本书,但是都很贵,少到一百,多则三百,而且到货时间要二到三个月.那就在网上找找看有没有pdf版的.好在找到了,且是在优快云上找到的.可喜的是,这几本书都找到pdf版的了,而且是免费的,下载不收币.当时下载时,没有记录链接地址,在此也无法上表,总之感谢上传这些资料的网友,更要感谢原书作者及出版pdf版本的书局.

我是从<TensorFlow Machine Learning Cookbook>这本书入手的.代码固然是要敲的,但是书中介绍的内容也要理解; 而英文书籍当时看懂了,过后又忘记了.我就想把它翻译记录下来,以便日后翻看,同时也可供同行参考.下面直接从正文开始,到最后有时间再把版权及作者简介写下来.

 

第一章 从TensorFlow开始

在这章节中,我们将介绍基本的"秘诀"来理解TensorFlow是如何工作的,如何访问这本书的数据及额外的资源.到这章结束时,你应该知道以下知识:

* TensorFlow如何工作

* 声明变量和张量(Tensor)

* 使用占位符(Placeholder)和变量(Variable)

* 使用矩阵

* 声明操作(Operation)

* 实现激活函数(Activation Function)

* 使用数据源

* 额外的资源

简介

Google的TensorFlow引擎在解决问题时使用了独特的方式, 这种方式使得我们可以很有效地解决机器学习问题.机器学习已经在生活工作的大多数领域有所应用,比较常见的方面有计算机视觉,语音识别,语言翻译以及健康管理.我们先介绍基本的步骤来理解TensorFlow是如何运行的,最后讲解构建产品级代码的技术.这些基础知识对于理解本书其余部分很重要.

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