Exploring Basic Automatic Differentiation Theory
Exploring Basic Automatic Differentiation Theory reveals several interesting facts.
- Up until now we calculated the gradients "by hand" and coded them manually. This does not scale up to large networks / complex ...
- Lecture 4 of the online course Deep Learning Systems: Algorithms and Implementation. This lecture introduces
- The
- Automatic differentiation
- This video was recorded as part of CIS 522 - Deep Learning at the University of Pennsylvania. The course material, including the ...
In-Depth Information on Basic Automatic Differentiation Theory
This short tutorial covers the Topics discussed: - Why care about differentiation? - Different ways to differentiate? - Why A deep dive into MIT Category
An invited talk for PEPM 2018. Abstract & slides: https://github.com/conal/talk-2018-essence-of-ad/blob/master/readme.md.
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