《动手学深度学习》

《动手学深度学习》

第二版预览版

跳转第一版

面向中文读者的能运行、可讨论的深度学习教科书

含 NumPy/MXNet、PyTorch 和 TensorFlow 实现

被全球 40 个国家 175 所大学用于教学

公告

作者

阿斯顿·张

亚马逊高级科学家

扎卡里 C. 立顿

亚马逊科学家,美国卡内基梅隆大学助理教授

李沐

亚马逊资深首席科学家

亚历山大 J. 斯莫拉

亚马逊副总裁/杰出科学家

第二卷章节作者

布伦特 沃尼斯

亚马逊高级科学家
深度学习的数学

张帅

苏黎世联邦理工学院博士后
推荐系统

郑毅

谷歌科学家
推荐系统

框架改编者

阿尼如 达格

印度理工学院罗克分校
PyTorch改编

唐源

蚂蚁集团高级工程师
TensorFlow改编

中文版译者

何孝霆

亚马逊解决方案架构师

瑞潮儿·胡

亚马逊科学家

感谢来自社区的 100+ 位贡献者

为本书贡献

Star Fork

每一小节都是可以运行的 Jupyter 记事本

你可以自由修改代码和超参数来获取及时反馈,从而积累深度学习的实战经验。

公式 + 图示 + 代码

我们不仅结合文字、公式和图示来阐明深度学习里常用的模型和算法,还提供代码来演示如何从零开始实现它们,并使用真实数据来提供一个交互式的学习体验。

活跃社区支持

你可以通过每个章节最后的链接来同社区的数千名小伙伴一起讨论学习。

本书(中英文版)被用作教材或参考书

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Institut Supérieur De L'electronique Et Du Numérique
Instituto Tecnológico Autónomo de México
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英文版引用


@book{zhang2020dive,
    title={Dive into Deep Learning},
    author={Aston Zhang and Zachary C. Lipton and Mu Li and Alexander J. Smola},
    note={\url{https://d2l.ai}},
    year={2020}
}

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