Christos explains the process of creating subnetworks by randomly selecting parameters, allowing each to build on the previous one. This method enables the last subnetwork to incorporate all data, enhancing prediction capabilities. As the size of the subnetworks increases, the validation effectiveness diminishes, highlighting the importance of rapid generalization from limited data.
