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Examples of scripts
The LibDEEP package contains a directory LibDEEP/examples, in which you can find some useful examples to work with our deep learning techniques.
Usage: RBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
Usage: DropoutRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
Usage: DropconnectRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
Usage: DRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
Usage: GaussianDRBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
Usage: DBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9> <P10> <P11>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
P10: number of DBM layers
P11: output parameters file name
Usage: TDBM <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9> <P10> <P11> <P12>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
P10: number of DBM layers
P11: temperature
P12: output parameters file name
Usage: DBN <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9> <P10>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
P10: number of DBN layers
Usage: TDBN <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9> <P10> <P11> <P12>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
P10: number of DBN layers
P11: temperature
P12: output parameters file name
Usage: DropoutDBN <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9> <P10>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
P10: number of DBN layers
Usage: DropconnectDBN <P1> <P2> <P3> <P4> <P5> <P6> <P7> <P8> <P9> <P10>
P1: training dataset in the OPF file format
P2: testing dataset in the OPF file format
P3: output results file name
P4: cross-validation iteration number
P5: input parameters file name
P6: number of epochs
P7: batch size
P8: number of iterations for Contrastive Divergence
P9: training method (1 - CD | 2 - PCD | 3 - FPCD)
P10: number of DBN layers