《动手学深度学习》：面向中文读者、能运行、可讨论 vs fast.ai：怎么选？

《动手学深度学习》是一本面向中文读者的AI教育工具，它提供了一本可运行、可讨论的深度学习教材。其核心功能包括：一是提供完整的交互式代码环境，读者能直接在书中运行代码并实时查看结果，避免理论脱离实践；二是支持社区协作讨论，读者可在每节内容下提问或分享见解，形成互助学习生态；三是覆盖从线性代数到Transformer的完整知识体系，并配有中文术语对照表。这款工具适合希望系统掌握深度学习原理的开发者、学生和研究人员，尤其适合中文母语者。它可用于自学或课堂教学，例如在实验课中让学生边学边调试模型，或在项目前期快速验证算法可行性。

关于 fast.ai

Following the thread of any seemingly quantitative issue in AI ethics (such as determining if software to rate loan applicants is racially biased or evaluating YouTube’s recommendation system) quickly leads to a host of qualitative questions. Unfortunately, there is often a large divide between computer scientists and social scientists, with over-simplified assumptions and fundamental misunderstandings of one another.

By using better masks, monitoring and improving indoor air quality, and rolling out rapid tests, we could quickly halt the current outbreaks in the Australian states of New South Wales (NSW) and Victoria. If we fail to do so, and open up before 80% of all Australians are vaccinated, we may have tens of thousands of deaths, and hundreds of thousands of children with chronic illness which could last for years.

As governments consider new uses of technology, in public places, this raises issues around surveillance of vulnerable populations, unintended consequences, and potential misuse. There are several principles to keep in mind in how these decisions can be made in a healthier and more responsible manner.