The Simple Essence of Automatic Differentiation - Conal Elliott
推荐理由
There's a talk that Conal gives that makes the paper a bit more accessible
说明
这是2018年由Microsoft Research发布的一部演讲,主题归在Machine learning & deep learning。它讲的是automatic differentiation这一支里的具体问题,而不是把整个领域扫一遍。适合想看推导、证明或实现细节的人。内容上可以概括成:Conal Elliott presents his paper on automatic differentiation, deriving a simple, generalized AD algorithm from a natural specification. Varying the representation of derivatives yields forward and reverse mode algorithms that avoid the complexity and statefulness of backpropagation.这些读者给出的理由,核心是:Cited as the more accessible companion to the paper, and as the most interesting treatment of AD via compiling to categories.讲法不绑某一条新闻,过几年仍然可以当材料看。从2018年到2023年,有3位不同的读者在4个不同月份把它推荐出来,其中明确叫别人去看的有1次。适合一次性看完。讲者把一个判断讲透,演示是在给这个判断配例子。如果已经会了基本定义,就把注意力放在它怎么把automatic differentiation变成能跟着复述的例子。
视频信息
- 频道
- Microsoft Research
- 时长
- 1 小时 30 分
- 发布年份
- 2018
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