Neural Architecture Search
Neural Architecture Search (NAS) is an automated technique for designing effective neural network architectures by systematically searching a space of possible layer types, connections, and configurations to find one that performs well on a given task.
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Glossary Terms(3)
Hyperparameter Tuning
Hyperparameter tuning is the process of systematically searching for the configuration values that control a machine learning model's training process — such a…
AutoML
AutoML (Automated Machine Learning) refers to tools and techniques that automate parts of the machine learning pipeline — such as feature selection, model sele…
Neural Architecture Search
Neural Architecture Search (NAS) is an automated technique for designing effective neural network architectures by systematically searching a space of possible…