Variables
	training_generator

	validation_generator

	y_val = np.array(y_val)

	X_train

	y_train

	X_val

	test_predictions
	Tweak input parameters to optimize performance of custom NNs. More...

Variable Documentation

◆ test_predictions

UNIQORN.test_predictions

Tweak input parameters to optimize performance of custom NNs.

               MAIN                 ##########

train (or load already trained) model and validate it
inp.layers=[1024,512,64] inp.regularizations=[0.4,0.2,0.6] ....

◆ training_generator

UNIQORN.training_generator

 LOADING FILENAMES AND INSTANTIATING DATA GENERATORS    #######

Instantiation of the data generators for batch processing with the paths to the files used as data. This construction is needed to load the data and labels on the fly, to not overload the memory for very large data sets.

◆ validation_generator

UNIQORN.validation_generator

◆ X_train

UNIQORN.X_train

◆ X_val

UNIQORN.X_val

◆ y_train

UNIQORN.y_train

◆ y_val

UNIQORN.y_val = np.array(y_val)

Variables