[论文解读] Dive into Deep Learning
这是一部在 Jupyter 笔记本中起草的、可公开开发的开源深度学习教材，结合讲解、数学、交互示例和可运行的代码，面向应用型机器学习读者。
This open-source book represents our attempt to make deep learning approachable, teaching readers the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. Our goal is to offer a resource that could (i) be freely available for everyone; (ii) offer sufficient technical depth to provide a starting point on the path to actually becoming an applied machine learning scientist; (iii) include runnable code, showing readers how to solve problems in practice; (iv) allow for rapid updates, both by us and also by the community at large; (v) be complemented by a forum for interactive discussion of technical details and to answer questions.
研究动机与目标
- 提供一个易于接近、技术上深入的深度学习入门。
- 提供可运行的代码和交互式演示，以实现实际学习。
- 实现快速更新以及围绕技术细节的社区驱动讨论。
提出的方法
- 内容以 Jupyter notebooks 组织，整合讲解、图示、数学和可运行的代码。
- 包含用于解决实际深度学习问题的代码和数据。
- 旨在实现免费可访问性并促进持续的社区贡献与讨论。
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