I am trying to do hyperparameter tuning for a CNN model. I am using a Bayesian Optimizer and searching for optimal hyperparameter values using keras tuner.
Here are some of the hyperparameters i am trying to tune:
2. Number of layers
3. Filter values in each conv2d layer.
4. Learning rate.
What is the optimal number of ‘max_trial’ value I should give in keras tuner in such case?