原题最短コースでわかる　ディープラーニングの数学

Masanori Akaishi

科学
出版社
Nikkei Business Publications, Inc. [Agt. JCA]
外部标识符
  • ISBN:9784296102501
出版日期
2019-04-15
报价截止日
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页数
344
作品的出版语言
日语
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让我们打开AI黑匣子吧！ 你可以在“最短的课程”中学到理解深度学习本质所必需的“数学”！ 这本书将帮助您“真正”理解“深度学习”的运行原理。 本书提供了易于理解的数学解释，这对于从高中一年级开始理解深度学习至关重要。 (微分、向量、矩阵、概率等) 为了让您在最短的时间内轻松理解，我们将所解释的数学领域缩小到最低限度，并在★特殊地图★中总结了它们的相关性。 我们还提供 Jupyter Notebook 格式的使用数学从头开始编写的代码，以便您可以在实际使用时进行学习。 这本书将帮助您“真正”理解“深度学习”的运行原理。 [介绍] 第一章 机器学习简介 [理论] 第 2 章 微分/积分 第 3 章向量和矩阵 第4章多元函数的微分 第 5 章指数和对数函数 第6章概率/统计 【实用版】 第7章 线性回归模型(回归) 第8章Logistic回归模型(二元分类) 第9章 Logistic回归模型(多级分类) 第10章深度学习模型 [发展] 第11章：以实用的深度学习为目标

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