I want to perform hyperparameter optimization on my transfer learning model using Keras Tuner. I am not sure how to do this since I have two stages of training,
I have the following code of Optuna to do the hyperparameter tunning for a Xgboost classifier. import optuna from optuna import Trial, visualization from optun
I use xgboost to do a multi-class classification of spectrogram images(data link: automotive target classification). The class number is 5, training data includ
My goal is to tune over possible network architectures that meet the following criteria: Layer 1 can have any number of hidden units from this list: [32, 64, 12
I use tune_grid() with no parameter grid to tune my hyperparameters (see below, please). According to the help page of the tune_grid() function, a parameter gri