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.
188.8.131.52.5.0. (new net-c iniinjki0kj0inthickoutthickprm)
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 . inthick
: number of input slices outthick :
number of outputs. prm an idx1-ddparam
in which the parameters will be allocated.