for (i=0 ; i<nout ; i++) { // Zero output gradient in preparation
gptr = outgrad[i] ; // for summing across this epoch
for ö=0 ; j<=nhid
;
j++)
gptr[j] = 0.0 ;
}
for (i=0 ; i<nhid ; i++) { // Similarly zero hidden gradient
gptr = hidgrad[i] ;
for 0=0
;
j<=nin
;
j++)
gptr[j] = 0.0 ;
}
error = 0.0 ;
for (pnum=0 ; pnum<ntrain ; pnum++) { // All presentations in epoch
gettrain ( pnum , ins , targ ) ; // Get a training presentation
present (
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