We study the possibility of using machine learning for the calculation of the bounce action in quantum tunneling. We first propose the calculation of the bounce action from a given scalar potential as an image recognition problem. Then we illustrate how machine learning techniques can be used for this problem, taking one-dimensional tunneling as an example.
