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NetworkArchitectures.h
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NetworkArchitectures.h
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#pragma once
#include "SparseConvNet.h"
class DeepCNet : public SparseConvNet {
public:
DeepCNet(int dimension, int l, int k, ActivationFunction fn,
int nInputFeatures, int nClasses, float p = 0.0f,
int cudaDevice = -1, int nTop = 1);
};
class DeepC2 : public SparseConvNet {
public:
DeepC2(int dimension, int l, int k, ActivationFunction fn, int nInputFeatures,
int nClasses, float p = 0.0f, int cudaDevice = -1, int nTop = 1);
};
class DeepCNiN : public SparseConvNet {
public:
DeepCNiN(int dimension, int l, int k, ActivationFunction fn,
int nInputFeatures, int nClasses, float p = 0.0f,
int cudaDevice = -1, int nTop = 1);
};
class DeepC2C2 : public SparseConvNet {
public:
DeepC2C2(int dimension, int l, int k, ActivationFunction fn,
int nInputFeatures, int nClasses, float p = 0.0f,
int cudaDevice = -1, int nTop = 1);
};
class POFMPSparseConvNet : public SparseConvNet {
public:
POFMPSparseConvNet(int dimension, int l, int k, float fmpShrink,
ActivationFunction fn, int nInputFeatures, int nClasses,
float p = 0.0f, int cudaDevice = -1, int nTop = 1);
};
class ROFMPSparseConvNet : public SparseConvNet {
public:
ROFMPSparseConvNet(int dimension, int l, int k, float fmpShrink,
ActivationFunction fn, int nInputFeatures, int nClasses,
float p = 0.0f, int cudaDevice = -1, int nTop = 1);
};
class PDFMPSparseConvNet : public SparseConvNet {
public:
PDFMPSparseConvNet(int dimension, int l, int k, float fmpShrink,
ActivationFunction fn, int nInputFeatures, int nClasses,
float p = 0.0f, int cudaDevice = -1, int nTop = 1);
};
class RDFMPSparseConvNet : public SparseConvNet {
public:
RDFMPSparseConvNet(int dimension, int l, int k, float fmpShrink,
ActivationFunction fn, int nInputFeatures, int nClasses,
float p = 0.0f, int cudaDevice = -1, int nTop = 1);
};