Optimizing the settings and configurations of a machine learning model to improve its performance. Like fine-tuning a recipe by adjusting cooking temperature and time for the best results.
Data scientists tune hyperparameters like learning rate and number of layers to make their neural network more accurate.
Optimizing the settings and configurations of a machine learning model to improve its performance. Like fine-tuning a recipe by adjusting cooking temperature and time for the best results.
Data scientists tune hyperparameters like learning rate and number of layers to make their neural network more accurate.
Related concepts include Model Training, Machine Learning, Optimization. Understanding these connections helps build a comprehensive knowledge of cloud computing concepts.