Author(s): Yann LeCun

A deep convolutional net, with one convo/subsamp set than LeNet5. (new net-cscscscf ini inj ki0 kj0 tbl0 si0 sj0 ki1 kj1 tbl1 si1 sj1 ki2 kj2 tbl2 si2 sj2 ki3 kj3 tbl3 outthick prm)
[CLASS] (packages/gblearn2/net-cscscscf.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 tbl0 : table of connections between input and feature maps for first layer si0 sj0 : subsampling for first layer ki1 kj1 tbl1 si1 sj1 : same for next 2 layers... ki2 kj2 tbl2 si2 sj2 : ...and the next 2 ki3 kj3 tbl3 : same yet again for last convolution layer outthick : number of outputs. prm an idx1-ddparam in which the parameters will be allocated.