Chapter 1: Basics of TensorFlow

本章目录：

1.1 Tensor

1.2 Computational Graph and Session

1.3 Constants, Placeholders and Variables

1.4 Creating tensors

1.5 Working on Matrices

1.6 Activation Functions

1.7 Creating tensors

1.8 Loss functions

1.9 Optimizers

1.10 Optimizers

1.11 Metrics

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      本章覆盖了TensorFlow，一个深度学习的框架的介绍。深度学习可以在模式识别方面表现突出，特别是图片、声音、演讲、语言、序列数据的上下文。

1.1 Tensor