arXiv cs.NE
· Papers
Convergent Evolution in Neural Representation Space: Emergent Order in Deep Belief Networks
arXiv:2608.05996v1 Announce Type: cross Abstract: Deep Belief Networks (DBNs) learn hierarchical generative models without class supervision. Here, we ask whether this purely unsupervised process nevertheless organizes internal representations according to the unknown data classes. We analyze successive layers of DBNs