Automatic Differentiation in Machine Learning: A Survey
Published:Nov 20, 2018 01:25
•1 min read
•Hacker News
Analysis
This article discusses a survey on Automatic Differentiation (AD) in Machine Learning. AD is a crucial technique for training machine learning models, enabling efficient computation of gradients. The survey likely covers various AD techniques, their applications, and potential advancements. The source, Hacker News, suggests a technical audience interested in the field.
Key Takeaways
Reference
“The article is a survey, implying a comprehensive overview of the topic.”