def __init__(self, inputNeuronCount: int, trainingBatchSize: int, outputNeuronCount: int):
self.layers = []
if len(self.layers) != 0:
raise Exception("Neural net already has an input layer")
self.trainingBatchSize = trainingBatchSize
self.set = Training(trainingBatchSize, inputNeuronCount, outputNeuronCount)
inputLayer = Layer(inputNeuronCount)
inputLayer.SetInputLayerActivationMatrix(inputNeuronCount, trainingBatchSize)
self.layers.append(inputLayer)
