Abstract
Neural networks and machine learning have emerged in recent decades, both in academia and industry. Commercial solutions can be found today ranging from medicine with X-ray image recognition, to predictions of consumer decision-making for the industry. However, although the purposes are numerous, the development of accurate models is hampered by the constant need to label training data, w…