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Apache-2.0

动手学深度学习(Dive into Deep Learning,D2L.ai)

第二版:zh.D2L.ai | 第一版:zh-v1.D2L.ai | 安装和使用书中源代码: 第二版 第一版

理解深度学习的最佳方法是学以致用。

本开源项目代表了我们的一种尝试:我们将教给读者概念、背景知识和代码;我们将在同一个地方阐述剖析问题所需的批判性思维、解决问题所需的数学知识,以及实现解决方案所需的工程技能。

我们的目标是创建一个为实现以下目标的统一资源:

  1. 所有人均可在网上免费获取;
  2. 提供足够的技术深度,从而帮助读者实际成为深度学习应用科学家:既理解数学原理,又能够实现并不断改进方法;
  3. 包含可运行的代码,为读者展示如何在实际中解决问题。这样不仅直接将数学公式对应成实际代码,而且可以修改代码、观察结果并及时获取经验;
  4. 允许我们和整个社区不断快速迭代内容,从而紧跟仍在高速发展的深度学习领域;
  5. 由包含有关技术细节问答的论坛作为补充,使大家可以相互答疑并交换经验。
将本书(中英文版)用作教材或参考书的大学

如果本书对你有帮助,请Star (★) 本仓库或引用本书的英文版:

@book{zhang2023dive,
    title={Dive into Deep Learning},
    author={Zhang, Aston and Lipton, Zachary C. and Li, Mu and Smola, Alexander J.},
    publisher={Cambridge University Press},
    note={\url{https://D2L.ai}},
    year={2023}
}

本书的英文版

虽然纸质书已出版,但深度学习领域依然在迅速发展。为了得到来自更广泛的英文开源社区的帮助,从而提升本书质量,本书的新版将继续用英文编写,并搬回中文版。

欢迎关注本书的英文开源项目

中英文教学资源

加州大学伯克利分校 2019 年春学期 Introduction to Deep Learning 课程教材(同时提供含教学视频地址的中文版课件)。

学术界推荐

"Dive into this book if you want to dive into deep learning!"

— 韩家炜,ACM 院士、IEEE 院士,美国伊利诺伊大学香槟分校计算机系 Michael Aiken Chair 教授

"This is a highly welcome addition to the machine learning literature."

— Bernhard Schölkopf,ACM 院士、德国国家科学院院士,德国马克斯•普朗克研究所智能系统院院长

"书中代码可谓‘所学即所用’。"

— 周志华,ACM 院士、IEEE 院士、AAAS 院士,南京大学计算机科学与技术系主任

"这本书可以帮助深度学习实践者快速提升自己的能力。"

— 张潼,ASA 院士、IMS 院士,香港科技大学计算机系和数学系教授

工业界推荐

"一本优秀的深度学习教材,值得任何想了解深度学习何以引爆人工智能革命的人关注。"

— 黄仁勋,NVIDIA创始人 & CEO

"《动手学深度学习》是最适合工业界研发工程师学习的。我毫无保留地向广大的读者们强烈推荐。"

— 余凯,地平线公司创始人 & CEO

"强烈推荐这本书!我特别赞赏这种手脑一体的学习方式。"

— 漆远,复旦大学“浩清”教授、人工智能创新与产业研究院院长

"《动手学深度学习》是一本很容易让学习者上瘾的书。"

— 沈强,将门创投创始合伙人

贡献

感谢社区贡献者们为每一位读者改进这本开源书。

如何贡献 | 致谢 | 讨论或报告问题 | 其他

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《动手学深度学习》,英文版即伯克利深度学习(STAT 157,2019春)教材。 展开 收起
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