TensorFlow was open sourced in November of 2015 by Google, and since then it has become
the most starred machine learning repository on GitHub. TensorFlow's popularity is due to the
approach of creating computational graphs, automatic differentiation, and customizability.
Because of these features, TensorFlow is a very powerful and adaptable tool that can be used
to solve many different machine learning problems.
This book addresses many machine learning algorithms, applies them to real situations and

data, and shows how to interpret the results.

TensorFlow于2015年11月由谷歌公司开源，自那时起，它已成为GitHub上星级最高的机器学习库。

成为GitHub上最受欢迎的机器学习资源库。TensorFlow的流行是由于它的

创建计算图的方法，自动区分，以及可定制性。

由于这些特点，TensorFlow是一个非常强大和适应性强的工具，可以用来

来解决许多不同的机器学习问题。

本书论述了许多机器学习算法，将它们应用于真实情况和

数据，并展示了如何解释这些结果。