2007-12-10T21:42:07Z2011-03-11T08:57:01Zhttp://cogprints.org/id/eprint/5869This item is in the repository with the URL: http://cogprints.org/id/eprint/58692007-12-10T21:42:07ZNotes on Convolutional Neural NetworksWe discuss the derivation and implementation of convolutional neural networks, followed by an extension which allows one to learn sparse combinations of feature maps. The derivation we present is specific to two-dimensional data and convolutions, but can be extended without much additional effort to an arbitrary number of dimensions. Throughout the discussion, we emphasize
efficiency of the implementation, and give small snippets of MATLAB code to accompany the equations.Jake Bouvrie