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A Step-by-step Introduction to the Implementation of Automatic Differentiation
Feb. 27, 2024, 5:42 a.m. | Yu-Hsueh Fang, He-Zhe Lin, Jie-Jyun Liu, Chih-Jen Lin
cs.LG updates on arXiv.org arxiv.org
Abstract: Automatic differentiation is a key component in deep learning. This topic is well studied and excellent surveys such as Baydin et al. (2018) have been available to clearly describe the basic concepts. Further, sophisticated implementations of automatic differentiation are now an important part of popular deep learning frameworks. However, it is difficult, if not impossible, to directly teach students the implementation of existing systems due to the complexity. On the other hand, if the teaching …
abstract arxiv basic concepts cs.lg deep learning differentiation implementation introduction key part popular step-by-step surveys type
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