《深度学习精要(基于R语言)》高清中文版

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说明：  本书重点介绍如何将R 语言和深度学习模型或深度神经网络结合起来，解决实 际的应用需求。全书共6 章，分别介绍了深度这习基础知识、训练预测模型、如何 防止过拟合、识别异常数据、训练深度预测模型以及调节和优化模型等内容。 本书适合了解机器学习概念和R语言并想要使用R提供的包来探索深度学习应 用的读者学习参考。(This book focuses on how to combine R language with deep learning model or deep neural network to solve the practical application requirements. There are six chapters in the book, which respectively introduce the basic knowledge of depth learning, training prediction model, how to prevent over fitting, identify abnormal data, training depth prediction model, adjustment and optimization model, etc. This book is suitable for readers who understand the concept of machine learning and R language and want to use the package provided by R to explore deep learning applications.)

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《深度学习精要(基于R语言)》高清中文版.pdf, 5893432 , 2018-01-30