a neural net class with one convolutional layer and one fully connected layer. The main purpose of this class is to make replicable fully connected networks. Unlike with net-ff, the input spatial dimensions are treated correctly here. So if you want to recognize characters, use this class rather than net-ff. (new net-cf ini inj ki0 kj0 tbl0 outthick prm)
[CLASS] (packages/gblearn2/net-cf.lsh)

makes a new net-cscscf module. ini inj : expected max size of input for preallocation of internal states ki0 kj0 : kernel size for first convolutional layer a standard fully-connected network can be obtained when ini = ki0 and inj = kj0 . tbl0 : table of connections between input anf feature maps for first layer outthick : number of outputs. prm an idx1-ddparam in which the parameters will be allocated.