Description: Convolution neural network is a kind of special deep neural network model, its particularity manifests in two aspects, on one hand its neurons connection is not completely connected, on the other hand the same layer in some neurons The weights of the connections are shared (ie, the same). Its non-fully connected and weight-sharing network structure makes it more similar to the biological neural network, reducing the complexity of the network model (it is very important for the deep structure that is difficult to learn), reducing the weight quantity.
To Search:
File list (Check if you may need any files):
CNN\cnnapplygrads.m
...\cnnbp.m
...\cnnff.m
...\Cnnsetup.m
...\cnntest.m
...\cnntrain.m
...\mnist_uint8.mat
...\Test_example_CNN.m
CNN
Download