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:这本开放源码书代表了我们努力使深层次的学习能够接近,让读者了解概念、上下文和代码。整本书以Jupyter笔记本起草,无缝地将展览数字、数学和交互式实例与自足代码结合起来。我们的目标是提供一个资源,以便(一) 人人可以免费获得;(二) 提供足够的技术深度,为实际成为应用机器学习科学家提供起点;(三) 包括可运行代码,显示读者如何解决实际问题;(四) 允许我们和广大社区迅速更新;(五) 辅之以一个论坛,对技术细节进行互动讨论并回答问题。