def __init__(self, layer_sizes=[16, 2000, 4], lr=.1, activation=ANN.relu, max_iterations=10, rand_limit_min=-.02, rand_limit_max=.02,
learningSet = [], learningSet_answ = [], testSet = [], testSet_answ = []):
# Converting data...
print("Converting data...")
learningSet = self.convert_input_divide_relative_to_max(learningSet)
learningSet_answ = self.convert_answers(learningSet_answ)
testSet = self.convert_input_divide_relative_to_max(testSet)
# Builds the network
self.neuralNet = ANN.neuralnetwork(layer_sizes=layer_sizes, lr=lr, activation=activation, max_iterations=max_iterations, rand_limit_min=rand_limit_min,
rand_limit_max=rand_limit_max, learningSet=learningSet, learningSet_answ=learningSet_answ, testSet=testSet, testSet_answ=testSet_answ)
