InceptionV1

Researchers introduced block-sparse featurizers (BSFs) to capture visual concept manifolds in neural network representations, showing that concepts are low-dimensional geometric structures rather than…

Overview of the first five layers of the InceptionV1 neural network, categorizing its early vision neurons into "neuron families" that detect features ranging from raw pixels to sophisticated shapes a…