The calibration of financial models is a time-consuming and expensive task, which needs to be performed frequently by financial institutions. In the academic literature, the use of artificial neural networks to calibrate these financial models has attracted substantial interest. Büchel et al. (https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3667070) therefore provide a first comprehensive empirical study on the application of ANNs for calibration based on observed market data. As a RA or in a BA/MA, your task is to replicate their implementation in Python and to showcase their findings.