Automated Deep Learning Using Neural Network Intelligence: Develop and Design PyTorch and TensorFlow Models Using Python

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022

I. GridinAutomated Deep Learning Using Neural Network Intelligencehttps://doi.org/10.1007/978-1-4842-8149-9_4

4. Multi-trial Neural Architecture Search

Ivan Gridin¹  

(1)

Vilnius, Lithuania

 

And now we come to the most exciting part of this book. As we noted at the end of the last chapter, HPO methods are pretty limited for automating the search for the optimal deep learning models, but Neural Architecture Search (NAS) dispels these limits. This chapter focuses on NAS, one of the most promising areas of automated deep learning. Automatic Neural Architecture Search is increasingly important in finding appropriate deep learning models. Recent researches have proven ...