Hyperparameter optimization results obtained with Optuna
<p dir="ltr">The top panel shows the optimization history, i.e., the evolution of the objective value across trials.<br>The bottom panels display the slice plots, illustrating the relationship between each hyperparameter (the activation function σ, the number of hidden layers ,...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , |
| Published: |
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | <p dir="ltr">The top panel shows the optimization history, i.e., the evolution of the objective value across trials.<br>The bottom panels display the slice plots, illustrating the relationship between each hyperparameter (the activation function σ, the number of hidden layers , the number of neurons per layer , and the learning rate α of the Adam optimizer) and the achieved objective value.</p> |
|---|