Automatic Differentiation in Machine Learning

Atılım Güneş Baydin, B. A. P., Radul, A. A., & Siskind, J. M. (2018). Automatic Differentiation in Machine Learning: a Survey. Journal of Machine Learning Research, 18(153), 1-43.

Type

Journal article

Intellectual base

Primary research

Year

2018

Link

https://jmlr.org/papers/v18/17-468.html

Cited by

1 citation across 1 artifact.

Domain-specific

• Automatic Differentiation
  • AD applies the chain rule to those operations in the order required by the program, producing derivatives of the represented computation without first converting the whole program into a symbolic formula and without perturbing inputs by a finite step.

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