DeepC2C2::DeepC2C2(int dimension, int l, int k, ActivationFunction fn, int nInputFeatures, int nClasses, float p, int cudaDevice, int nTop) : SparseConvNet(dimension,nInputFeatures, nClasses, cudaDevice, nTop) {
for (int i=0;i<l;i++) {
addLeNetLayerMP((i+1)*k,2,1,1,1,fn,p*i*1.0f/l);
addLeNetLayerMP((i+1)*k,2,1,3,2,fn,p*i*1.0f/l);
}
addLeNetLayerMP((l+1)*k,2,1,1,1,fn,p);
addLeNetLayerMP((l+1)*k,1,1,1,1,fn,p);
addSoftmaxLayer();
}
ROFMPSparseConvNet::ROFMPSparseConvNet(int dimension, int l, int k, float fmpShrink, ActivationFunction fn, int nInputFeatures, int nClasses, float p, int cudaDevice, int nTop) : SparseConvNet(dimension,nInputFeatures, nClasses, cudaDevice,nTop) {
for (int i=0;i<l;i++) {
addLeNetLayerROFMP(k*(i+1),2,1,2,fmpShrink,fn,p*i/(l+2));
}
addLeNetLayerROFMP(k*(l+1),2,1,2,1.5,fn,p*l/(l+2));
addLeNetLayerMP(k*(l+2),2,1,1,1,fn,p*(l+1)/(l+2));
addLeNetLayerMP(k*(l+3),1,1,1,1,fn,p);
addSoftmaxLayer();
}
DeepCNiN::DeepCNiN (int dimension, int l, int k, ActivationFunction fn, int nInputFeatures, int nClasses, float p, int cudaDevice, int nTop) : SparseConvNet(dimension,nInputFeatures, nClasses, cudaDevice, nTop) {
for (int i=0;i<=l;i++) {
addLeNetLayerMP((i+1)*k,
(i==0)?2:2,
1,
(i<l)?3:1,
(i<l)?2:1,
fn,
p*i*1.0f/l);
addLeNetLayerMP(1,1,1,1,(i+1)*k,fn,p*i*1.0f/l);
}
addSoftmaxLayer();
}
CNN (int dimension, int l, int k, ActivationFunction fn, int nInputFeatures, int nClasses, float p=0.0f, int cudaDevice=-1, int nTop=1) : SparseConvNet(dimension,nInputFeatures, nClasses, cudaDevice, nTop){
for (int i=0;i<=l;i++)
addLeNetLayerMP((i+1)*k*0+32<<i,
2+(i==0)+(i==l),
1,
(i<l)?3:1,
(i<l)?2:1,
fn,
p*i*1.0f/l);
addSoftmaxLayer();
}
ImagenetTriangular::ImagenetTriangular
(int dimension, ActivationFunction fn,
int nInputFeatures, int nClasses, int cudaDevice, int nTop)
: SparseConvTriangLeNet(dimension,nInputFeatures, nClasses, cudaDevice, nTop) {
addLeNetLayerMP( 64,7,2,2,2,fn,0.0f,10);
addLeNetLayerMP(128,3,1,3,2,fn,0.0f,4);
addLeNetLayerMP(256,3,1,3,2,fn,0.0f,4);
addLeNetLayerMP(384,3,1,3,2,fn,0.0f,4);
addLeNetLayerMP(512,3,1,1,1,fn,0.0f,4);
addTerminalPoolingLayer(32);
addLeNetLayerMP(1024,1,1,1,1,fn);
addSoftmaxLayer();
}
