We present a machine learning model resting on convolutional neural network (CNN) capable to yield accurate scattering phase shifts in s-wave caused by different three-dimensional spherically symmetric potentials at fixed collision energy thereby bypassing the radial Schrödinger equation. We obtain good performance even in the presence of potential instances supporting bound states.