Fig. 3: Network individual differences emerge with increasing network depth.
From: Individual differences among deep neural network models
a We compare the representational geometries across all network instances (10) and layers (9 convolutional) for All-CNN-C by computing all pairwise distances between the corresponding RDMs. b We projected the data points in a (one for each layer and instance) into 2D via MDS. Layers of individual network instances are connected via gray lines. While early representational geometries are highly similar, individual differences emerge gradually with increasing network depth.
