内容提要 Content Summary

前言 Foreword

1.1 人工智能如影随形 1.1 Artificial Intelligence, Ever Present

1.2 人工智能发展的一波三折 1.2 The Twists and Turns in the Development of Artificial Intelligence

1.3 人工智能发展三大基础 1.3 Three Fundamental Pillars of Artificial Intelligence Development

1.4 人工智能发展三大学派 1.4 Three Major Schools of Artificial Intelligence Development

1.5 人工智能概念 1.5 Concepts of Artificial Intelligence

1.6 人工智能发展趋势 1.6 Trends in Artificial Intelligence Development

2.1 感受AI 2.1 Experiencing AI

2.2 体验AI 2.2 Experience AI

2.3 百度EasyDL 2.3 Baidu EasyDL

3.1 Python编程环境搭建和规范 3.1 Python Programming Environment Setup and Standards

3.2 Python基础语法 3.2 Python Basic Syntax

3.3 Python流程控制 3.3 Python Flow Control

3.4 Python字符串 3.4 Python string

3.5 第三方库安装与使用 3.5 Third-party Library Installation and Use

4.1 机器学习分类 4.1 Classification of Machine Learning

4.2 机器学习算法之线性回归 4.2 Linear Regression in Machine Learning Algorithms

4.3 机器学习算法之逻辑回归 4.3 Machine Learning Algorithm - Logistic Regression

4.4 机器学习重要概念 4.4 Important Concepts in Machine Learning

4.5 人工神经网络 4.5 Artificial Neural Network

4.6 卷积神经网络 4.6 Convolutional Neural Networks

5.1 人工智能硬件 5.1 Artificial Intelligence Hardware

5.2 深度学习开源框架 5.2 Open-Source Frameworks for Deep Learning

6.1 百度AI开发平台基础 6.1 Fundamentals of Baidu AI Development Platform

6.2 百度AI开发平台案例之_人脸识别 6.2 Baidu AI Development Platform Case Study - Face Recognition

6.3 百度AI开发平台案例之_内容审核 6.3 Baidu AI Development Platform Case - Content Review

参考文献 References

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