本书介绍了Python基础、机器学习，以及最好也最易学习的两个平台PyTorch和Keras。全书共20章，包括Python安装配置、Python语言基础、流程控制语句、序列、函数、对象、文件及异常处理、数据处理和分析的重要模块(NumPy、Pandas)、机器学习基础、机器学习常用调优方法、神经网络、卷积神经网络，以及使用PyTorch、Keras实现多个人工智能实战案例等。
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