The optimal hyperparameters you chose might actually be luck

After testing 100 hyperparameter candidates, the best accuracy was 92.5%. But is that value really "optimal"? In reality, it ...
techtarget

Hyperparameter tuning techniques to optimize ML models

No matter the strength of a model's architecture or the quality of its training data, it's unlikely to perform optimally without the right hyperparameter values. Hyperparameters play a key role in ...
thenextweb.com

Machine learning algorithms and the art of hyperparameter selection

Machine learning algorithms are used everywhere from a smartphone to a spacecraft. They tell you the weather forecast for tomorrow, translate from one language into another, and suggest what TV series ...
BIOENGINEER

New Explainable AutoML Tool Teaches Users While It Builds Their Deep Learning Models

Automated machine learning has long promised to hand the power of deep learning to scientists who never trained as programmers, yet most of these tools deliver a finished model with little explanation ...