Genetic Algorithms for Neural Network Training: A 2017 Retrospective
Published:Sep 28, 2018 08:07
•1 min read
•Hacker News
Analysis
This article discusses a method from 2017, highlighting the application of genetic algorithms in training deep neural networks. While potentially relevant for historical context, the age of the article warrants consideration of more current research and advancements.
Key Takeaways
- •Genetic algorithms offer an alternative approach to training neural networks.
- •The article represents research from 2017, and advancements have likely been made since.
- •This can provide historical context and a look at research from this era.
Reference
“The article is from Hacker News and discusses genetic algorithms in the context of neural network training.”