cnn-local-connectivity

IN premise — entries/2026/06/21/wiki-Neural_network_28machine_learning29-chunk-3.md

Created 2026-06-21T09:55:51+00:00

Convolutional layers differ from fully connected layers by connecting each neuron to only a local subset of neurons in the previous layer rather than all neurons

Dependents

These beliefs depend on this one:

• IN cnn-efficiency-from-inductive-biases — CNNs achieve dramatic parameter efficiency through two complementary inductive biases — local connectivity restricts each neuron's receptive field, and weight sharing forces all spatial positions to use identical filters — reducing parameters by orders of magnitude.