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.

翻译：这本开源书籍代表了我们对让深度学习易于掌握的尝试，向读者传授概念、背景知识和代码实现。全书以Jupyter笔记本格式编写，将阐述性图表、数学公式与交互式示例及独立代码无缝融合。我们的目标是提供一种资源，能够：（i）供所有人免费获取；（ii）具备足够的技术深度，为成为实际应用机器学习科学家提供起点；（iii）包含可运行代码，向读者展示如何在实践中解决问题；（iv）支持我们及广大社区的快速更新；（v）辅以论坛，用于技术细节的互动讨论与答疑。