What are the best tools for model selection in machine learning?
There are several great tools for model selection, including GridSearchCV, RandomizedSearchCV, and Optuna. Each has its strengths.
Can you explain how GridSearchCV works?
GridSearchCV performs an exhaustive search over specified parameter values for an estimator. It evaluates all combinations.
What about Optuna? How is it different?
Optuna is an automatic hyperparameter optimization framework that uses a more efficient sampling method, making it faster.
Are there any tools that integrate with TensorFlow?
Yes, tools like Keras Tuner and TensorFlow Model Optimization Toolkit are great for model selection and tuning with TensorFlow.
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