Media Summary: Topics discussed: - Why care about differentiation? - Different ways to differentiate? - Why 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
Basic Automatic Differentiation Theory - Detailed Analysis & Overview
Topics discussed: - Why care about differentiation? - Different ways to differentiate? - Why 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 This video was recorded as part of CIS 522 - Deep Learning at the University of Pennsylvania. The course material, including the ... Since somehow you found this video i assume that you have seen the term An invited talk for PEPM 2018. Abstract & slides:
