Defined dataset type

#Number of test datapoints (test data is the final check, if your neural network is trained well - you should not optimize NN based on test data)

test_data_size = data_size - training_data_size - validation_data_size

#Dataset creation - there are several predefined datasets - look at dataset.py to method createAllData()

#Dataset initialization

data = Dataset(data_size, training_data_size, validation_data_size, test_data_size)

if(data.initializeDataSet("spiral") == False):

#Predefined datasets - look at dataset.py to method createAllData()

dataset_type = "spiral"

if(data.initializeDataSet(dataset_type) == False):

    print("Dataset not defined")

    sys.exit(1)

#The structure is an array of number of neurons at corresponding layer, length of structure is the depth of neural network

structure = [data.input_data_dimension,8,8,8,data.output_data_dimension]

structure = [data.input_data_dimension,5,5,5,data.output_data_dimension]

#Initialization of new neural network

network = NeuralNetwork(structure)