  We apply deep-learning techniques to the string landscape, in particular,
$SO(32)$ heterotic string theory on simply-connected Calabi-Yau threefolds with
line bundles. It turns out that three-generation models cluster in particular
islands specified by deep autoencoder networks and k-means++ clustering.
Especially, we explore mutual relations between model parameters and the
cluster with densest three-generation models (called "3-generation island"). We
find that the 3-generation island has a strong correlation with the topological
data of Calabi-Yau threefolds, in particular, second Chern class of the tangent
bundle of the Calabi-Yau threefolds. Our results also predict a large number of
Higgs pairs in the 3-generation island.
