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_3

3. Hyperparameter Optimization Under Shell

Ivan Gridin¹  

(1)

Vilnius, Lithuania

 

In the previous chapter, we saw that simple HPO techniques could produce very impressive results. Hyperparameter Optimization not only optimizes a specific model for a dataset but can even construct new architectures. But the fact is that we have used an elementary set of tools for HPO tasks so far. Indeed, up to this point, we have only used the primitive Random Search Tuner and Grid Search Tuner. We learned from the previous chapter that search spaces could contain millions ...